Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
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int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question Provide the country ID of East London. Clarification: East London refers to City_Name = 'East London'
[query_database(**{'query': 'SELECT Country_id FROM City WHERE City_Name = 'East London''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,010
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question List the name of England players. Clarification: England players refers to Country_Name = 'England'
[query_database(**{'query': 'SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'England''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,014
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question What is the role of SC Ganguly? Clarification: SC Ganguly refers to Player_Name = 'SC Ganguly'; role refers to Role_Desc
[query_database(**{'query': 'SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,018
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question Which teams did SC Ganguly join in season year 2008? Clarification: SC Ganguly refers to Player_Name = 'SC Ganguly'; in season year 2008 refers to Season_Year = 2008
[query_database(**{'query': 'SELECT T5.Team_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id WHERE T4.Season_Year = 2008 AND T1.Player_Name = 'SC Ganguly' GROUP BY T5.Team_Name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,022
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question What is the outcome type of match ID 392195? Clarification:
[query_database(**{'query': 'SELECT T2.Outcome_Type FROM Match AS T1 INNER JOIN Outcome AS T2 ON T1.Outcome_type = T2.Outcome_Id WHERE T1.Match_Id = '392195''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,026
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question What year was R Dravid born and the role he played? Clarification: R Dravid refers to Player_Name = 'R Dravid'; year born refers to DOB; role refers to Role_Desc
[query_database(**{'query': 'SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,030
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question Count the matches that were won by wickets in all season. Clarification: won by wickets refers to Win_type = 'wickets';
[query_database(**{'query': 'SELECT COUNT(T1.Match_Id) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T2.Win_type = 'wickets''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,034
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question Calculate the percentage of left hand batting style players among all players. Clarification: left hand batting style players refers to Batting_hand = 'Left-hand bat'; percentage refers to DIVIDE(COUNT(Batting_hand = 'Left-hand bat'), COUNT(Player_Id)) * 100.0
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,038
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question Who is the winning team in a match held on April 26, 2009 with a winning margin of 6 points? Clarification: winning margin of 6 points refers to Win_Margin = 6; held on April 26, 2009 refers to Match_Date = '2009-04-26'
[query_database(**{'query': 'SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,042
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/ ### Question List the player's name who played as a captain. Clarification: played as a captain refers to Role_Desc = 'captain'; player refers to Player_Name
[query_database(**{'query': 'SELECT T2.Player_Name FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Captain' GROUP BY T2.Player_Name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Batting_Style ( Batting_Id INTEGER primary key, Batting_hand TEXT ) /* 1 example row: SELECT * FROM batting_style LIMIT 1; Batting_Id || Batting_hand 1 ||Left-hand bat */ /* column definitions { "Batting_Id": "unique id for batting hand", "Batting_hand": "the batting hand: left or right" }*/ CREATE TABLE Bowling_Style ( Bowling_Id INTEGER primary key, Bowling_skill TEXT ) /* 1 example row: SELECT * FROM bowling_style LIMIT 1; Bowling_Id || Bowling_skill 1 ||Right-arm medium */ /* column definitions { "Bowling_Id": "unique id for bowling style", "Bowling_skill": "the bowling skill" }*/ CREATE TABLE City ( City_Id INTEGER primary key, City_Name TEXT, Country_id INTEGER ) /* 1 example row: SELECT * FROM city LIMIT 1; City_Id ||City_Name ||Country_id 1 ||Bangalore || 1 */ /* column definitions { "City_Id": "unique id for city", "City_Name": "city name", "Country_id": "id of country" }*/ CREATE TABLE Country ( Country_Id INTEGER primary key, Country_Name TEXT, foreign key (Country_Id) references Country(Country_Id) ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_Id ||Country_Name 1 || India */ /* column definitions { "Country_Id": "unique id for country", "Country_Name": "country name" }*/ CREATE TABLE Extra_Type ( Extra_Id INTEGER primary key, Extra_Name TEXT ) /* 1 example row: SELECT * FROM extra_type LIMIT 1; Extra_Id ||Extra_Name 1 || legbyes */ /* column definitions { "Extra_Id": "unique id for extra type", "Extra_Name": "extra type name" }*/ CREATE TABLE Extra_Runs ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Extra_Type_Id INTEGER, Extra_Runs INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Extra_Type_Id) references Extra_Type(Extra_Id) ) /* 1 example row: SELECT * FROM extra_runs LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Extra_Type_Id ||Extra_Runs ||Innings_No 335987 || 1 || 1 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Extra_Type_Id": "Unique Number which Identifies extra type", "Extra_Runs": "Number of extra runs", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Out_Type ( Out_Id INTEGER primary key, Out_Name TEXT ) /* 1 example row: SELECT * FROM out_type LIMIT 1; Out_Id ||Out_Name 1 || caught */ /* column definitions { "Out_Id": "unique id for out type", "Out_Name": "out type name" }*/ CREATE TABLE Outcome ( Outcome_Id INTEGER primary key, Outcome_Type TEXT ) /* 1 example row: SELECT * FROM outcome LIMIT 1; Outcome_Id ||Outcome_Type 1 || Result */ /* column definitions { "Outcome_Id": "unique id for outcome", "Outcome_Type": "type of the outcome" }*/ CREATE TABLE Player ( Player_Id INTEGER primary key, Player_Name TEXT, DOB DATE, Batting_hand INTEGER, Bowling_skill INTEGER, Country_Name INTEGER, foreign key (Batting_hand) references Batting_Style(Batting_Id), foreign key (Bowling_skill) references Bowling_Style(Bowling_Id), foreign key (Country_Name) references Country(Country_Id) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_Id ||Player_Name || DOB ||Batting_hand ||Bowling_skill ||Country_Name 1 || SC Ganguly ||1972-07-08 || 1 || 1 || 1 */ /* column definitions { "Player_Id": "the id of the player", "Player_Name": "the name of the player", "DOB": "player's birthday", "Batting_hand": "the id of the batting hand", "Bowling_skill": "the id of the bowling skill", "Country_Name": "the name of the country where the player is from" }*/ CREATE TABLE Rolee ( Role_Id INTEGER primary key, Role_Desc TEXT ) /* 1 example row: SELECT * FROM rolee LIMIT 1; Role_Id ||Role_Desc 1 || Captain */ /* column definitions { "Role_Id": "the unique id for the role", "Role_Desc": "the role description " }*/ CREATE TABLE Season ( Season_Id INTEGER primary key, Man_of_the_Series INTEGER, Orange_Cap INTEGER, Purple_Cap INTEGER, Season_Year INTEGER ) /* 1 example row: SELECT * FROM season LIMIT 1; Season_Id ||Man_of_the_Series ||Orange_Cap ||Purple_Cap ||Season_Year 1 || 32 || 100 || 102 || 2008 */ /* column definitions { "Season_Id": "the unique id for season", "Man_of_the_Series": "the player id of man of the series", "Orange_Cap": "the player id who wins the orange cap", "Purple_Cap": "the player id who wins the purple cap", "Season_Year": "the year of the season" }*/ CREATE TABLE Team ( Team_Id INTEGER primary key, Team_Name TEXT ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_Id || Team_Name 1 ||Kolkata Knight Riders */ /* column definitions { "Team_Id": "the unique id for the team", "Team_Name": "the team name " }*/ CREATE TABLE Toss_Decision ( Toss_Id INTEGER primary key, Toss_Name TEXT ) /* 1 example row: SELECT * FROM toss_decision LIMIT 1; Toss_Id ||Toss_Name 1 || field */ /* column definitions { "Toss_Id": "the unique id for the toss", "Toss_Name": "the toss decision name" }*/ CREATE TABLE Umpire ( Umpire_Id INTEGER primary key, Umpire_Name TEXT, Umpire_Country INTEGER, foreign key (Umpire_Country) references Country(Country_Id) ) /* 1 example row: SELECT * FROM umpire LIMIT 1; Umpire_Id ||Umpire_Name ||Umpire_Country 1 || Asad Rauf || 6 */ /* column definitions { "Umpire_Id": "the unique id of the umpire", "Umpire_Name": "umpire's name", "Umpire_Country": "the id of the country where the umpire are from" }*/ CREATE TABLE Venue ( Venue_Id INTEGER primary key, Venue_Name TEXT, City_Id INTEGER, foreign key (City_Id) references City(City_Id) ) /* 1 example row: SELECT * FROM venue LIMIT 1; Venue_Id || Venue_Name ||City_Id 1 ||M Chinnaswamy Stadium || 1 */ /* column definitions { "Venue_Id": "the unique id of the venue", "Venue_Name": "the name of the venue", "City_Id": "the city id where the venue is located in " }*/ CREATE TABLE Win_By ( Win_Id INTEGER primary key, Win_Type TEXT ) /* 1 example row: SELECT * FROM win_by LIMIT 1; Win_Id ||Win_Type 1 || runs */ /* column definitions { "Win_Id": "the unique id for the winning", "Win_Type": "the winning type" }*/ CREATE TABLE Match ( Match_Id INTEGER primary key, Team_1 INTEGER, Team_2 INTEGER, Match_Date DATE, Season_Id INTEGER, Venue_Id INTEGER, Toss_Winner INTEGER, Toss_Decide INTEGER, Win_Type INTEGER, Win_Margin INTEGER, Outcome_type INTEGER, Match_Winner INTEGER, Man_of_the_Match INTEGER, foreign key (Team_1) references Team(Team_Id), foreign key (Team_2) references Team(Team_Id), foreign key (Season_Id) references Season(Season_Id), foreign key (Venue_Id) references Venue(Venue_Id), foreign key (Toss_Winner) references Team(Team_Id), foreign key (Toss_Decide) references Toss_Decision(Toss_Id), foreign key (Win_Type) references Win_By(Win_Id), foreign key (Outcome_type) references Out_Type(Out_Id), foreign key (Match_Winner) references Team(Team_Id), foreign key (Man_of_the_Match) references Player(Player_Id) ) /* 1 example row: SELECT * FROM match LIMIT 1; Match_Id ||Team_1 ||Team_2 ||Match_Date ||Season_Id ||Venue_Id ||Toss_Winner ||Toss_Decide ||Win_Type ||Win_Margin ||Outcome_type ||Match_Winner ||Man_of_the_Match 335987 || 2 || 1 ||2008-04-18 || 1 || 1 || 2 || 1 || 1 || 140 || 1 || 1 || 2 */ /* column definitions { "Match_Id": "unique id for match", "Team_1": "the team id of the first team", "Team_2": "the team id for the second team", "Match_Date": "the date of the match", "Season_Id": "the id of the season", "Venue_Id": "the id of the venue where the match held", "Toss_Winner": "the id of the toss winner", "Toss_Decide": "the decision (batting or bowling) made after winning the toss", "Win_Type": "the id of the winning type ", "Win_Margin": "the points of the winning margin", "Outcome_type": "the id of the outcome type", "Match_Winner": "the team id of the match winner", "Man_of_the_Match": "the id of the man of the match" }*/ CREATE TABLE Ball_by_Ball ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Innings_No INTEGER, Team_Batting INTEGER, Team_Bowling INTEGER, Striker_Batting_Position INTEGER, Striker INTEGER, Non_Striker INTEGER, Bowler INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM ball_by_ball LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Innings_No ||Team_Batting ||Team_Bowling ||Striker_Batting_Position ||Striker ||Non_Striker ||Bowler 335987 || 1 || 1 || 1 || 1 || 2 || 1 || 1 || 2 || 14 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Innings_No": "Unique Number which Identifies an innings in a match", "Team_Batting": "Unique Number which Identifies Batting team in a match", "Team_Bowling": "Unique Number which Identifies Bowling team in a match", "Striker_Batting_Position": "Unique Number which Identifies the position in which player came into bat", "Striker": "Unique Number which Identifies the player who is on strike for that particular ball", "Non_Striker": "Unique Number which Identifies the player who is Non-striker for that particular ball", "Bowler": "Unique Number which Identifies the player who is Bowling that particular ball" }*/ CREATE TABLE Batsman_Scored ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Runs_Scored INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id) ) /* 1 example row: SELECT * FROM batsman_scored LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Runs_Scored ||Innings_No 335987 || 1 || 1 || 0 || 1 */ /* column definitions { "Match_Id": "Unique Number Which Identifies a match", "Over_Id": "Unique Number which Identifies an over in an Innings", "Ball_Id": "Unique Number which Identifies a ball in an over", "Runs_Scored": "Number of Runs scored by the batsman", "Innings_No": "Unique Number which Identifies an innings in a match" }*/ CREATE TABLE Player_Match ( Match_Id INTEGER, Player_Id INTEGER, Role_Id INTEGER, Team_Id INTEGER, primary key (Match_Id, Player_Id, Role_Id), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Id) references Player(Player_Id), foreign key (Team_Id) references Team(Team_Id), foreign key (Role_Id) references Rolee(Role_Id) ) /* 1 example row: SELECT * FROM player_match LIMIT 1; Match_Id ||Player_Id ||Role_Id ||Team_Id 335987 || 1 || 1 || 1 */ /* column definitions { "Match_Id": "unique id for match", "Player_Id": "the id of the player", "Role_Id": "the id of the play's role in the match", "Team_Id": "the id of player's team" }*/ CREATE TABLE Wicket_Taken ( Match_Id INTEGER, Over_Id INTEGER, Ball_Id INTEGER, Player_Out INTEGER, Kind_Out INTEGER, Fielders INTEGER, Innings_No INTEGER, primary key (Match_Id, Over_Id, Ball_Id, Innings_No), foreign key (Match_Id) references Match(Match_Id), foreign key (Player_Out) references Player(Player_Id), foreign key (Kind_Out) references Out_Type(Out_Id), foreign key (Fielders) references Player(Player_Id) ) /* 1 example row: SELECT * FROM wicket_taken LIMIT 1; Match_Id ||Over_Id ||Ball_Id ||Player_Out ||Kind_Out ||Fielders ||Innings_No 335987 || 2 || 1 || 6 || 2 || None || 2 */ /* column definitions { "Match_Id": "the id of the match", "Over_Id": "the id of the over in an inning", "Ball_Id": "the id of the ball in an over", "Player_Out": "the player id who got an out", "Kind_Out": "the id that represents the out type", "Fielders ": "the id of fielders", "Innings_No": "number which identifies an innings in a match" }*/
2,046
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question How many times was the album released by blowfly in 1980 downloaded? Clarification: blowfly is an artist; groupYear = 1980; album refers to releaseType; downloaded refers to totalSnatched;
[query_database(**{'query': 'SELECT totalSnatched FROM torrents WHERE artist LIKE 'blowfly' AND groupYear = 1980'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,048
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question What are the top 5 tags with the highest amount of downloads? Clarification: the highest amount of downloads refers to MAX(totalSnatched);
[query_database(**{'query': 'SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched DESC LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,050
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question Name all the release titles of the "ep's" under the alternative tag. Clarification: release titles of the "ep's" refer to groupName where releaseType = 'ep';
[query_database(**{'query': 'SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag LIKE 'alternative' AND T1.releaseType = 'ep''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,054
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question How many times has the release "city funk" been downloaded? Clarification: groupName = 'city funk'; downloaded refers to totalSnatched;
[query_database(**{'query': 'SELECT totalSnatched FROM torrents WHERE groupName LIKE 'city funk''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,058
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question Please list the titles of all the releases with the tag "1980s". Clarification: titles refer to groupName;
[query_database(**{'query': 'SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,062
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question What are the average download times for the a release tagged "1980s"? Clarification: AVG(totalSnatched where tag = '1980s');
[query_database(**{'query': 'SELECT CAST(SUM(T1.totalSnatched) AS REAL) / COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,066
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question An American rapper '2Pac' released his first solo album in 1991, how many years have passed until his next album was released? Clarification: 2Pac is an artist; album refers to releaseType; groupYear = 1991; SUBTRACT(groupYear = 1991, groupYear where releaseType = 'album' LIMIT 1 OFFSET 1);
[query_database(**{'query': 'SELECT ( SELECT groupYear FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'album' ORDER BY groupYear LIMIT 1, 1 ) - groupYear FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'album' AND groupYear = 1991'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,070
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question Which artist released singles between 1980 to 1982? Clarification: releaseType = 'single'; between 1980 to 1982 refers to groupYear between 1980 and 1982;
[query_database(**{'query': 'SELECT artist FROM torrents WHERE groupYear BETWEEN 1980 AND 1982 AND releaseType LIKE 'single''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,074
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question Which artist has released the most singles with the tag "soul"? Clarification: the most singles refer to MAX(COUNT(releaseType = 'single'));
[query_database(**{'query': 'SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'soul' AND T1.releaseType = 'single' GROUP BY T1.artist ORDER BY COUNT(T1.releaseType) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,078
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question Among id from 10 to 50. Which artist tagged as "new.york" has the most downloads? Clarification: Among id from 10 to 50 refers to id between 10 and 50; tag = 'new.york'; the most downloads refer to MAX(totalSnatched);
[query_database(**{'query': 'SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.id BETWEEN 10 AND 50 AND T2.tag LIKE 'new.york' ORDER BY T1.totalSnatched DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,082
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question In 1980, how many singles were released by sugar daddy? Clarification: sugar daddy is an artist; releaseType = 'single'; groupYear = 1980;
[query_database(**{'query': 'SELECT COUNT(releaseType) FROM torrents WHERE artist LIKE 'sugar daddy' AND releaseType LIKE 'Single' AND groupYear = 1980'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,086
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/ ### Question Please list all release titles whose tag is jazz in 2005. Clarification: release titles refer to groupName; groupYear = 2005;
[query_database(**{'query': 'SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear = 2005 AND T2.tag LIKE 'jazz''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "torrents" ( groupName TEXT, totalSnatched INTEGER, artist TEXT, groupYear INTEGER, releaseType TEXT, groupId INTEGER, id INTEGER constraint torrents_pk primary key ) /* 1 example row: SELECT * FROM torrents LIMIT 1; groupName ||totalSnatched || artist ||groupYear ||releaseType ||groupId ||id superappin' || 239 ||grandmaster flash & the furious five || 1979 || single || 720949 || 0 */ /* column definitions { "groupName": "release title", "totalSnatched": "number of times the release has been downloaded", "artist": "artist / group name", "groupYear": "release year", "releaseType": "release type (e.g., album, single, mixtape)", "groupId": "Unique release identifier from What.CD. Used to ensure no releases are duplicates.", "id": "unique identifier (essentially an index)" }*/ CREATE TABLE "tags" ( "index" INTEGER constraint tags_pk primary key, id INTEGER constraint tags_torrents_id_fk references torrents, tag TEXT ) /* 1 example row: SELECT * FROM tags LIMIT 1; index ||id || tag 0 || 0 ||1970s */ /* column definitions { "index": "index", "id": "release identifier which can be matched with id field in the torrents table", "tag": "tag" }*/
2,090
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Among the countries in the group of Heavily Indebted Poor Countries, how many of them are under the lending category of the International Development Associations? Clarification: group of Heavily Indebted Poor Countries is OtherGroups = 'HIPC'; International Development Associations refers to lendingcategory = 'IDA'
[query_database(**{'query': 'SELECT COUNT(CountryCode) FROM Country WHERE LendingCategory = 'IDA' AND OtherGroups = 'HIPC''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,094
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Among the countries with note on the series code SM.POP.TOTL, how many of them are in the low-income group? Clarification: countries refer to Countrycode; low-income group refers to incomegroup = 'Low income'; with notes refers to description IS NOT NULL; series code SM.POP.TOTL refers to Seriescode = 'SM.POP.TOTL'
[query_database(**{'query': 'SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SM.POP.TOTL' AND T1.IncomeGroup = 'Low income''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,098
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is the long name of the country with the description "Estimates are derived from data on foreign-born population." on the series code SM.POP.TOTL? Clarification:
[query_database(**{'query': 'SELECT T1.LongName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Estimates are derived FROM data on foreign-born population.' AND T2.Seriescode = 'SM.POP.TOTL''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,102
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question How many footnotes did Aruba got on different series code in the year 2002? Clarification: Aruba is the name of country where ShortName = 'Aruba'
[query_database(**{'query': 'SELECT COUNT(T2.SeriesCode) FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Year = 'YR2002''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,106
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question List the East Asia & Pacific countries which are under the High income: nonOECD group. Please include their alpha code. Clarification: the East Asia & Pacific countries are where Region = 'East Asia & Pacific'; High income: nonOECD group is where IncomeGroup = 'High income: nonOECD'
[query_database(**{'query': 'SELECT CountryCode, Alpha2Code FROM Country WHERE Region = 'East Asia & Pacific' AND IncomeGroup = 'High income: nonOECD''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,111
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question In 1970, how many Middle Eastern & North African countries whose value for CO2 emissions from gaseous fuel consumption (kt) indicator is more than 600? Clarification: Year = 1970; Middle East & North Africa is the name of the region where Region = 'Middle East & North Africa'; CO2 emissions from gaseous fuel consumption (kt) is the name of indicator where IndicatorName = 'CO2 emissions from gaseous fuel consumption (kt)'
[query_database(**{'query': 'SELECT COUNT(T2.CountryCode) FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Middle East & North Africa' AND T1.IndicatorName = 'CO2 emissions FROM gaseous fuel consumption (kt)' AND T1.Year = 1970 AND T1.Value > 600'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,115
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Enumerate the footnote narratives of The Bahamas under the series code SH.DTH.IMRT in the year 1984. Clarification: narratives is Description; The Bahamas is the name of the country where Country = 'The Bahamas'
[query_database(**{'query': 'SELECT DISTINCT T1.Description FROM FootNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode WHERE T1.Year = 'YR1984' AND T2.ShortName = 'The Bahamas' AND T1.Seriescode = 'SH.DTH.IMRT''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,119
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question How many countries have reached their Adjusted net national income per capita (constant 2005 US$) indicator value to more than 1,000 but have not finished their external debt reporting? Clarification: Adjusted net national income per capita (constant 2005 US$) is the IndicatorName; have not finished their external debt reporting means ExternalDebtReportingStatus = 'Preliminary'
[query_database(**{'query': 'SELECT COUNT(T1.CountryCode) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Adjusted net national income per capita (constant 2005 US$)' AND T1.ExternalDebtReportingStatus = 'Preliminary' AND T2.Value > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,123
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42469, 9032, 9679, 1078, 16139, 345, 262, 328, 3458, 7117, 2257, 4090, 3586, 16139, 345, 262, 445, 2518, 6888, 1014, 16139, 345, 262, 7089, 22962, 1408, 16139, 345, 262, 744, 2173, 31912, 42469, 4391, 16139, 345, 262, 42209, 49337, 21316, 394, 16139, 345, 262, 393, 604, 69115, 9679, 4700, 16139, 345, 262, 31946, 2173, 88746, 53192, 644, 10464, 2342, 16139, 345, 262, 32036, 1951, 13045, 71231, 2583, 394, 16139, 345, 262, 744, 2173, 40273, 4700, 16139, 345, 262, 10423, 7516, 287, 45676, 394, 16139, 345, 262, 2417, 69, 1061, 4944, 325, 33196, 20367, 2342, 16139, 345, 262, 29257, 54471, 34, 13940, 3909, 16139, 345, 262, 29257, 29707, 6416, 69115, 2611, 16139, 345, 262, 8922, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 16139, 345, 262, 55371, 24253, 12833, 1733, 16139, 345, 262, 29257, 32, 13130, 4269, 34, 13940, 4391, 16139, 345, 262, 29257, 84212, 1061, 5291, 31481, 345, 262, 29257, 40273, 1061, 1014, 31481, 345, 262, 29257, 29353, 93361, 278, 1061, 1733, 31481, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question List the sources for the Net Migration in South American countries in 2002. Clarification: South American is the name of the region; Year contains '2002'; sources refer to Description; IndicatorName = 'Net migration';
[query_database(**{'query': 'SELECT T2.Source FROM CountryNotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode INNER JOIN Country AS T3 ON T1.Countrycode = T3.CountryCode INNER JOIN SeriesNotes AS T4 ON T2.SeriesCode = T4.Seriescode WHERE T4.Year LIKE '%2002%' AND T2.IndicatorName = 'Net migration''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,127
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question How many low income countries are there in South Asia? Clarification: South Asia is the name of the region; IncomeGroup = 'Low income';
[query_database(**{'query': 'SELECT COUNT(CountryCode) FROM Country WHERE Region = 'South Asia' AND IncomeGroup = 'Low income''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,131
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Which upper middle income country has the lowest value of CO2 emissions (kt)? Clarification: IncomeGroup = 'Upper middle income'; IndicatorName = 'CO2 emissions (kt); the lowest value refers to MIN(Value);
[query_database(**{'query': 'SELECT T1.CountryCode FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Upper middle income' AND T2.IndicatorName = 'CO2 emissions (kt)' ORDER BY T2.Value ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,135
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question In 2005, which series codes use the International Monetary Fund, Balance of Payments Statistics Yearbook and data files source? Clarification: Year contains '2005'; series codes contain 'International Monetary Fund'
[query_database(**{'query': 'SELECT T1.Seriescode, T2.Source FROM Footnotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T1.Year LIKE '%2005%' AND T2.Source LIKE 'International Monetary Fund%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,139
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Which country has the highest value of Merchandise imports by the reporting economy (current US$)? Clarification: country refers to CountryName; the highest value implies MAX(Value); IndicatorName = 'Merchandise imports by the reporting economy (current US$)';
[query_database(**{'query': 'SELECT CountryName FROM Indicators WHERE IndicatorName = 'Merchandise imports by the reporting economy (current US$)' ORDER BY Value DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,143
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3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Which indicator name uses the Weighted average method and has the lowest value? Clarification: AggregationMethod = 'Weighted average'; the lowest value implies MIN(Value);
[query_database(**{'query': 'SELECT T1.IndicatorName, MIN(T1.Value) FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T2.AggregationMethod = 'Weighted average''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,147
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is indicator code of Rural population? Clarification: IndicatorName = 'Rural population';
[query_database(**{'query': 'SELECT DISTINCT IndicatorCode FROM Indicators WHERE IndicatorName = 'Rural population''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,150
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question List out the long name of countries using series code as DT.DOD.DSTC.CD Clarification:
[query_database(**{'query': 'SELECT T1.LongName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'DT.DOD.DSTC.CD''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,154
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question List out the series code and country code of the poor countries that located in Latin American & Carribbean. Clarification: Latin American & Carribbean is the name of the region; poor countries refers to IncomeGroup = 'Low income';
[query_database(**{'query': 'SELECT T2.SeriesCode, T2.CountryCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.Region = 'Latin America & Caribbean' AND t1.incomegroup = 'Low income''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,158
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question List out the table name and currency unit of countries using series code as FP.CPI.TOTL Clarification:
[query_database(**{'query': 'SELECT T1.TableName, T1.CurrencyUnit FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'FP.CPI.TOTL''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,162
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question How many of the countries name start with alphabet A? List down the Alpha2Code of them. Clarification: countries name starts with alphabet A refers to shortname like 'A%';
[query_database(**{'query': 'SELECT COUNT(ShortName) FROM Country WHERE ShortName LIKE 'A%' UNION SELECT alpha2code FROM country WHERE shortname LIKE 'A%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,166
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Name the countries' long name with national accounts base year prior to 1980. Clarification: national accounts base year prior to 1980 means before 1980 and refers to NationalAccountsBaseYear<1980;
[query_database(**{'query': 'SELECT LongName FROM Country WHERE NationalAccountsBaseYear < '1980' AND NationalAccountsBaseYear != '''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,170
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What are the footnote description of Finland in year 2000? Clarification: Finland is the short name of the country; year 2000 refers to Year = 'YR2000';
[query_database(**{'query': 'SELECT DISTINCT T2.Description FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.TableName = 'Finland' AND T2.Year = 'YR2000''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,174
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3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Name 5 country codes of country with highest value and state the region of these countries. Clarification: with highest value refers to MAX(Value);
[query_database(**{'query': 'SELECT DISTINCT T1.CountryCode, T1.Region FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode ORDER BY T2.Value DESC LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,178
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Among the low income countries, which country has the lowest fertility rate? Clarification: fertility rate refers to IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)'; lowest refers to MIN(Value); IncomeGroup = 'Low income';
[query_database(**{'query': 'SELECT T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Low income' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' ORDER BY T2.Value LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,182
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Which country have completed vital registration? List all the countries. Clarification: have completed vital registration refers to VitalRegistrationComplete = Yes; country name refers to ShortName
[query_database(**{'query': 'SELECT ShortName FROM Country WHERE VitalRegistrationComplete = 'Yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,186
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What country have the series code of SP.DYN.CBRT.IN? Clarification: what country refers to ShortName
[query_database(**{'query': 'SELECT T1.ShortName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'SP.DYN.CBRT.IN''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,190
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question In 1960, what is largest population for country with upper middle income? Clarification: in 1960 refers to year = '1960'; the largest population refers to max(value where IndicatorName = 'Population, total'); country with upper middle income refers to incomegroup = 'Upper middle income'
[query_database(**{'query': 'SELECT MAX(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Upper middle income' AND T2.Year = 1960 AND T2.IndicatorName = 'Population, total''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,194
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3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What country has the latest trade data with a series code of "SP.DYN.CDRT.IN "? List the table name of the country. Clarification: the latest trade data refers to LatestTradeData = '2013'; with a series code of "SP.DYN.CDRT.IN " refers to indicatorcode = 'SP.DYN.CDRT.IN'
[query_database(**{'query': 'SELECT DISTINCT T1.TableName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.LatestTradeData = 2013 AND T2.IndicatorCode = 'SP.DYN.CDRT.IN''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,198
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3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Please provide full name of any two countries using special trade system. Clarification: full name refers to longname; using special trade system refers to systemoftrade = 'Special trade system'
[query_database(**{'query': 'SELECT LongName FROM Country WHERE SystemOfTrade = 'Special trade system' LIMIT 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,202
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Which countries in the upper middle income category still have unfinished external debt reporting? Please provide the country codes in your answer. Clarification: in the upper middle income category refers to incomegroup = 'Upper middle income'; still have unfinished external debt reporting refers to ExternalDebtReportingStatus = 'Preliminary'
[query_database(**{'query': 'SELECT CountryCode FROM Country WHERE IncomeGroup = 'Upper middle income' AND ExternalDebtReportingStatus = 'Preliminary''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,206
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What proportion of Sub-Saharan Africa's countries have lower middle incomes? Clarification: proportion = divide(count(countrycode where incomegroup = 'Low income'), count(countrycode))*100%; Sub-Saharan Africa's countries refers to region = 'Sub-Saharan Africa'; have lower middle incomes refers to incomegroup = 'Low income'
[query_database(**{'query': 'SELECT SUM(CASE WHEN IncomeGroup = 'Lower middle income' THEN 1 ELSE 0 END) * 100.0 / COUNT(CountryCode) persentage FROM Country WHERE Region = 'Sub-Saharan Africa''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,210
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is the series code for Germany and what is its description? Clarification: Germany refers to shortname = 'Germany'
[query_database(**{'query': 'SELECT T1.Seriescode, T1.Description FROM CountryNotes AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.ShortName = 'Germany''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,214
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42469, 9032, 9679, 1078, 16139, 345, 262, 328, 3458, 7117, 2257, 4090, 3586, 16139, 345, 262, 445, 2518, 6888, 1014, 16139, 345, 262, 7089, 22962, 1408, 16139, 345, 262, 744, 2173, 31912, 42469, 4391, 16139, 345, 262, 42209, 49337, 21316, 394, 16139, 345, 262, 393, 604, 69115, 9679, 4700, 16139, 345, 262, 31946, 2173, 88746, 53192, 644, 10464, 2342, 16139, 345, 262, 32036, 1951, 13045, 71231, 2583, 394, 16139, 345, 262, 744, 2173, 40273, 4700, 16139, 345, 262, 10423, 7516, 287, 45676, 394, 16139, 345, 262, 2417, 69, 1061, 4944, 325, 33196, 20367, 2342, 16139, 345, 262, 29257, 54471, 34, 13940, 3909, 16139, 345, 262, 29257, 29707, 6416, 69115, 2611, 16139, 345, 262, 8922, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 16139, 345, 262, 55371, 24253, 12833, 1733, 16139, 345, 262, 29257, 32, 13130, 4269, 34, 13940, 4391, 16139, 345, 262, 29257, 84212, 1061, 5291, 31481, 345, 262, 29257, 40273, 1061, 1014, 31481, 345, 262, 29257, 29353, 93361, 278, 1061, 1733, 31481, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 1061, 1393, 33092, 29353, 93361, 278, 1061, 720, 286, 362, 12270, 1393, 55439, 16083, 9121, 1393, 55439, 16083, 9121, 1393, 98273, 3314, 315, 21139, 1393, 286, 20479, 1393, 55439, 16083, 8136, 876, 5676, 1393, 37, 16164, 1060, 842, 25, 5587, 220, 508, 26, 13122, 4261, 369, 5426, 9815, 828, 25, 47466, 320, 1527, 220, 679, 18, 527, 30669, 570, 5165, 9815, 828, 527, 42211, 505, 279, 60170, 323, 1782, 505, 279, 10913, 25647, 21021, 5219, 4245, 311, 42308, 315, 279, 1200, 2411, 8752, 13, 1393, 26070, 13936, 1393, 12310, 8070, 1393, 257, 20479, 1393, 338, 220, 1049, 17, 14, 2839, 1393, 4700, 1393, 1150, 3779, 520, 6913, 7729, 320, 53, 1905, 8, 1393, 310, 3110, 32, 1393, 996, 473, 63219, 1393, 16813, 5829, 279, 220, 2550, 18, 744, 315, 5165, 41755, 38152, 13, 1393, 1014, 1393, 1078, 1393, 6663, 1393, 3909, 34459, 1393, 15777, 6696, 1887, 1393, 15577, 5303, 660, 8792, 3109, 1393, 15777, 2956, 4185, 325, 33196, 744, 320, 38, 70104, 8, 1393, 1733, 220, 4468, 24, 1393, 33189, 64704, 36480, 24507, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question Which nation completed its external debt reporting in 1980 and had a Land under cereal production value of 3018500? Clarification: completed its external debt reporting refers to ExternalDebtReportingStatus = 'Actual'; in 1980 refers to year = 1980; Land under cereal production value of 3018500 refers to value = 3018500
[query_database(**{'query': 'SELECT T2.CountryCode FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName LIKE 'Land under cereal production%' AND T1.Value = 3018500 AND T1.Year = 1980 AND T2.ExternalDebtReportingStatus = 'Actual''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,218
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42469, 9032, 9679, 1078, 16139, 345, 262, 328, 3458, 7117, 2257, 4090, 3586, 16139, 345, 262, 445, 2518, 6888, 1014, 16139, 345, 262, 7089, 22962, 1408, 16139, 345, 262, 744, 2173, 31912, 42469, 4391, 16139, 345, 262, 42209, 49337, 21316, 394, 16139, 345, 262, 393, 604, 69115, 9679, 4700, 16139, 345, 262, 31946, 2173, 88746, 53192, 644, 10464, 2342, 16139, 345, 262, 32036, 1951, 13045, 71231, 2583, 394, 16139, 345, 262, 744, 2173, 40273, 4700, 16139, 345, 262, 10423, 7516, 287, 45676, 394, 16139, 345, 262, 2417, 69, 1061, 4944, 325, 33196, 20367, 2342, 16139, 345, 262, 29257, 54471, 34, 13940, 3909, 16139, 345, 262, 29257, 29707, 6416, 69115, 2611, 16139, 345, 262, 8922, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 16139, 345, 262, 55371, 24253, 12833, 1733, 16139, 345, 262, 29257, 32, 13130, 4269, 34, 13940, 4391, 16139, 345, 262, 29257, 84212, 1061, 5291, 31481, 345, 262, 29257, 40273, 1061, 1014, 31481, 345, 262, 29257, 29353, 93361, 278, 1061, 1733, 31481, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 1061, 1393, 33092, 29353, 93361, 278, 1061, 720, 286, 362, 12270, 1393, 55439, 16083, 9121, 1393, 55439, 16083, 9121, 1393, 98273, 3314, 315, 21139, 1393, 286, 20479, 1393, 55439, 16083, 8136, 876, 5676, 1393, 37, 16164, 1060, 842, 25, 5587, 220, 508, 26, 13122, 4261, 369, 5426, 9815, 828, 25, 47466, 320, 1527, 220, 679, 18, 527, 30669, 570, 5165, 9815, 828, 527, 42211, 505, 279, 60170, 323, 1782, 505, 279, 10913, 25647, 21021, 5219, 4245, 311, 42308, 315, 279, 1200, 2411, 8752, 13, 1393, 26070, 13936, 1393, 12310, 8070, 1393, 257, 20479, 1393, 338, 220, 1049, 17, 14, 2839, 1393, 4700, 1393, 1150, 3779, 520, 6913, 7729, 320, 53, 1905, 8, 1393, 310, 3110, 32, 1393, 996, 473, 63219, 1393, 16813, 5829, 279, 220, 2550, 18, 744, 315, 5165, 41755, 38152, 13, 1393, 1014, 1393, 1078, 1393, 6663, 1393, 3909, 34459, 1393, 15777, 6696, 1887, 1393, 15577, 5303, 660, 8792, 3109, 1393, 15777, 2956, 4185, 325, 33196, 744, 320, 38, 70104, 8, 1393, 1733, 220, 4468, 24, 1393, 33189, 64704, 36480, 24507, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question How many countries in Europe & Central Asia uses Danish krone as its currency? List the full names of those coutnries. Clarification: countries in Europe & Central Asia refer to region = 'Europe & Central Asia'; uses Danish krone refers to currencyunit = 'Danish krone'; full name refers to longname
[query_database(**{'query': 'SELECT COUNT(longname) FROM country WHERE region = 'Europe & Central Asia' AND currencyunit = 'Danish krone' UNION SELECT longname FROM country WHERE currencyunit = 'Danish krone' AND region = 'Europe & Central Asia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,222
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question In Sub-Saharan Africa, how many female out-of-school children of primary school age are there in the country with the higest number of female out-of-school children of primary school age? Indicate the year of when it was recorded. Clarification: in Sub-Saharan Africa refers to Region = 'Sub-Saharan Africa'; the higest number of female out-of-school children of primary school age refers to max(value where IndicatorName = 'Out-of-school children of primary school age, female (number)')
[query_database(**{'query': 'SELECT MAX(T1.value), T1.year FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Sub-Saharan Africa' AND T1.IndicatorName = 'Out-of-school children of primary school age, female (number)''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,226
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is the lending category of the country with a cereal production of 6140000 metric tons for the year 1966? Clarification: cereal production of 6140000 metric tons refers value where IndicatorName = 'Cereal production (metric tons)'> 6140000; the year 1966 refers to Year = '1966'
[query_database(**{'query': 'SELECT T1.LendingCategory FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Cereal production (metric tons)' AND T2.Value = 6140000 AND T2.Year = 1966'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,230
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is the average number of passengers carried via air transport per year by Bulgaria between 1970 to 1980? Indicate the country's system of trade. Clarification: average number refers to avg(value); passengers carried via air transport per year refers to value where IndicatorName = 'Air transport, passengers carried'; by Bulgaria refers to CountryName = 'Bulgaria'; between 1970 to 1980 refers to Year between 1970 and 1980
[query_database(**{'query': 'SELECT AVG(T1.Value), T2.SystemOfTrade FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Air transport, passengers carried' AND T1.Year >= 1970 AND T1.Year < 1981 AND T1.CountryName = 'Bulgaria''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,234
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What's the long name of the country that got 3000000 on the indicator Arms exports in 1960? Clarification: long name refers to CountryName; got 3000000 on the indicator Arms exports refers to value where IndicatorName = 'Arms exports (SIPRI trend indicator values)' = 3000000; in 1960 refers to Year = 1960
[query_database(**{'query': 'SELECT T1.LongName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Arms exports (SIPRI trend indicator values)' AND T2.Year = 1960 AND T2.Value = 3000000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,238
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is the note for Australia on the indicator SP.ADO.TFRT? Clarification: note refers to Description; for Australia refers to ShortName = 'Australia'; indicator SP.ADO.TFRT refers to Seriescode = 'SP.ADO.TFRT'
[query_database(**{'query': 'SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SP.ADO.TFRT' AND T1.ShortName = 'Australia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question How many countries have notes on the indicator Stocks traded, turnover ratio of domestic shares? Clarification: indicator Stocks traded, turnover ratio of domestic shares refers to IndicatorName = 'Stocks traded, turnover ratio of domestic shares (%)'
[query_database(**{'query': 'SELECT COUNT(T1.Countrycode) FROM CountryNotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T2.IndicatorName = 'Stocks traded, turnover ratio of domestic shares (%)''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,246
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42469, 9032, 9679, 1078, 16139, 345, 262, 328, 3458, 7117, 2257, 4090, 3586, 16139, 345, 262, 445, 2518, 6888, 1014, 16139, 345, 262, 7089, 22962, 1408, 16139, 345, 262, 744, 2173, 31912, 42469, 4391, 16139, 345, 262, 42209, 49337, 21316, 394, 16139, 345, 262, 393, 604, 69115, 9679, 4700, 16139, 345, 262, 31946, 2173, 88746, 53192, 644, 10464, 2342, 16139, 345, 262, 32036, 1951, 13045, 71231, 2583, 394, 16139, 345, 262, 744, 2173, 40273, 4700, 16139, 345, 262, 10423, 7516, 287, 45676, 394, 16139, 345, 262, 2417, 69, 1061, 4944, 325, 33196, 20367, 2342, 16139, 345, 262, 29257, 54471, 34, 13940, 3909, 16139, 345, 262, 29257, 29707, 6416, 69115, 2611, 16139, 345, 262, 8922, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 16139, 345, 262, 55371, 24253, 12833, 1733, 16139, 345, 262, 29257, 32, 13130, 4269, 34, 13940, 4391, 16139, 345, 262, 29257, 84212, 1061, 5291, 31481, 345, 262, 29257, 40273, 1061, 1014, 31481, 345, 262, 29257, 29353, 93361, 278, 1061, 1733, 31481, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 3224, 10592, 220, 16, 26, 4815, 14438, 2123, 1393, 220, 10928, 678, 1393, 220, 82890, 1393, 504, 5843, 678, 1393, 19947, 17, 2123, 1393, 220, 29553, 4665, 1393, 58040, 5351, 10812, 9984, 22405, 1393, 262, 17593, 1393, 59998, 2878, 1393, 54, 65, 17, 2123, 1393, 31912, 42469, 4066, 9679, 1393, 31912, 42469, 9032, 9679, 1393, 394, 328, 3458, 7117, 2257, 4090, 1393, 43, 2518, 6888, 1393, 11663, 22962, 1393, 8497, 744, 2173, 31912, 42469, 1393, 76863, 49337, 21316, 1393, 47, 604, 69115, 9679, 1393, 21880, 2173, 88746, 53192, 644, 10464, 1393, 27002, 1951, 13045, 71231, 2583, 1393, 996, 744, 2173, 40273, 1393, 262, 10423, 7516, 287, 45676, 1393, 310, 2417, 69, 1061, 4944, 325, 33196, 20367, 1393, 33092, 54471, 34, 13940, 1393, 1014, 29257, 29707, 6416, 69115, 1393, 3692, 2173, 13622, 26198, 59998, 3112, 849, 3825, 9464, 1061, 1393, 53, 2223, 24253, 12833, 1393, 33092, 32, 13130, 4269, 34, 13940, 1393, 33092, 84212, 1061, 1393, 33092, 40273, 1061, 1393, 33092, 29353, 93361, 278, 1061, 720, 286, 362, 12270, 1393, 55439, 16083, 9121, 1393, 55439, 16083, 9121, 1393, 98273, 3314, 315, 21139, 1393, 286, 20479, 1393, 55439, 16083, 8136, 876, 5676, 1393, 37, 16164, 1060, 842, 25, 5587, 220, 508, 26, 13122, 4261, 369, 5426, 9815, 828, 25, 47466, 320, 1527, 220, 679, 18, 527, 30669, 570, 5165, 9815, 828, 527, 42211, 505, 279, 60170, 323, 1782, 505, 279, 10913, 25647, 21021, 5219, 4245, 311, 42308, 315, 279, 1200, 2411, 8752, 13, 1393, 26070, 13936, 1393, 12310, 8070, 1393, 257, 20479, 1393, 338, 220, 1049, 17, 14, 2839, 1393, 4700, 1393, 1150, 3779, 520, 6913, 7729, 320, 53, 1905, 8, 1393, 310, 3110, 32, 1393, 996, 473, 63219, 1393, 16813, 5829, 279, 220, 2550, 18, 744, 315, 5165, 41755, 38152, 13, 1393, 1014, 1393, 1078, 1393, 6663, 1393, 3909, 34459, 1393, 15777, 6696, 1887, 1393, 15577, 5303, 660, 8792, 3109, 1393, 15777, 2956, 4185, 325, 33196, 744, 320, 38, 70104, 8, 1393, 1733, 220, 4468, 24, 1393, 33189, 64704, 36480, 24507, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/ ### Question What is the average value of Adolescent fertility rate in the country whose Alpha2Code is 1A? Clarification: average value = AVG(Value) where IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)'
[query_database(**{'query': 'SELECT CAST(SUM(T2.Value) AS REAL) * 100 / COUNT(T2.Year) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Country" ( CountryCode TEXT not null primary key, ShortName TEXT, TableName TEXT, LongName TEXT, Alpha2Code TEXT, CurrencyUnit TEXT, SpecialNotes TEXT, Region TEXT, IncomeGroup TEXT, Wb2Code TEXT, NationalAccountsBaseYear TEXT, NationalAccountsReferenceYear TEXT, SnaPriceValuation TEXT, LendingCategory TEXT, OtherGroups TEXT, SystemOfNationalAccounts TEXT, AlternativeConversionFactor TEXT, PppSurveyYear TEXT, BalanceOfPaymentsManualInUse TEXT, ExternalDebtReportingStatus TEXT, SystemOfTrade TEXT, GovernmentAccountingConcept TEXT, ImfDataDisseminationStandard TEXT, LatestPopulationCensus TEXT, LatestHouseholdSurvey TEXT, SourceOfMostRecentIncomeAndExpenditureData TEXT, VitalRegistrationComplete TEXT, LatestAgriculturalCensus TEXT, LatestIndustrialData INTEGER, LatestTradeData INTEGER, LatestWaterWithdrawalData INTEGER ) /* 1 example row: SELECT * FROM country LIMIT 1; CountryCode || ShortName || TableName || LongName ||Alpha2Code || CurrencyUnit || SpecialNotes || Region ||IncomeGroup ||Wb2Code ||NationalAccountsBaseYear ||NationalAccountsReferenceYear || SnaPriceValuation ||LendingCategory ||OtherGroups || SystemOfNationalAccounts ||AlternativeConversionFactor ||PppSurveyYear ||BalanceOfPaymentsManualInUse ||ExternalDebtReportingStatus || SystemOfTrade || GovernmentAccountingConcept || ImfDataDisseminationStandard ||LatestPopulationCensus || LatestHouseholdSurvey ||SourceOfMostRecentIncomeAndExpenditureData ||VitalRegistrationComplete ||LatestAgriculturalCensus ||LatestIndustrialData ||LatestTradeData ||LatestWaterWithdrawalData AFG ||Afghanistan ||Afghanistan ||Islamic State of Afghanistan || AF ||Afghan afghani ||Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy. ||South Asia || Low income || AF || 2002/03 || ||Value added at basic prices (VAB) || IDA || HIPC ||Country uses the 1993 System of National Accounts methodology. || || || || Actual ||General trade system ||Consolidated central government ||General Data Dissemination System (GDDS) || 1979 ||Multiple Indicator Cluster Survey (MICS), 2010/11 || Integrated household survey (IHS), 2008 || || 2013/14 || None || 2013 || 2000 */ /* column definitions { "CountryCode": "unique code identifying countries", "ShortName": "Short names of countries ", "TableName": "table names of countries", "LongName": "long or full name of countries", "Alpha2Code": "2 digit code of countries ", "CurrencyUnit": "Currency Unit used in this country", "SpecialNotes": "Special Notes", "Region": "region that country belongs to ", "IncomeGroup": "income level of countries ", "Wb2Code": "world bank to code", "NationalAccountsBaseYear": "the year used as the base period for constant price calculations in the country's national accounts", "NationalAccountsReferenceYear": "National Accounts Reference Year", "SnaPriceValuation": "SNA Price Valuation", "LendingCategory": "Lending category", "OtherGroups": "other groups", "SystemOfNationalAccounts": "System Of National Accounts", "AlternativeConversionFactor": "Alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method", "PppSurveyYear": "purchasing power parity survey year", "BalanceOfPaymentsManualInUse": "Balance Of Payments Manual In Use", "ExternalDebtReportingStatus": "External Debt Reporting Status", "SystemOfTrade": "System Of Trade", "GovernmentAccountingConcept": "Government Accounting Concept", "ImfDataDisseminationStandard": "IMF Standards for Data Dissemination", "LatestPopulationCensus": "Latest Population Census", "LatestHouseholdSurvey": "", "SourceOfMostRecentIncomeAndExpenditureData": "Source Of Most Recent Income And Expenditure Data", "VitalRegistrationComplete": "Vital Registration Complete", "LatestAgriculturalCensus": "Latest Agricultural Census", "LatestIndustrialData": "Latest Industrial Data", "LatestTradeData": "Latest Trade Data", "LatestWaterWithdrawalData": "Latest Water Withdrawal Data" }*/ CREATE TABLE "Series" ( SeriesCode TEXT not null primary key, Topic TEXT, IndicatorName TEXT, ShortDefinition TEXT, LongDefinition TEXT, UnitOfMeasure TEXT, Periodicity TEXT, BasePeriod TEXT, OtherNotes INTEGER, AggregationMethod TEXT, LimitationsAndExceptions TEXT, NotesFromOriginalSource TEXT, GeneralComments TEXT, Source TEXT, StatisticalConceptAndMethodology TEXT, DevelopmentRelevance TEXT, RelatedSourceLinks TEXT, OtherWebLinks INTEGER, RelatedIndicators INTEGER, LicenseType TEXT ) /* 1 example row: SELECT * FROM series LIMIT 1; SeriesCode || Topic || IndicatorName ||ShortDefinition || LongDefinition ||UnitOfMeasure ||Periodicity ||BasePeriod ||OtherNotes ||AggregationMethod ||LimitationsAndExceptions ||NotesFromOriginalSource || GeneralComments || Source ||StatisticalConceptAndMethodology ||DevelopmentRelevance ||RelatedSourceLinks ||OtherWebLinks ||RelatedIndicators ||LicenseType BN.KLT.DINV.CD ||Economic Policy & Debt: Balance of payments: Capital & financial account ||Foreign direct investment, net (BoP, current US$) || ||Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme || || Annual || || None || || || ||Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial ass ||International Monetary Fund, Balance of Payments Statistics Yearbook and data files. || || || || None || None || Open */ /* column definitions { "SeriesCode": "unique code identifying series", "Topic": "topic of series", "IndicatorName": "Indicator Name", "ShortDefinition": "Short Definition of series", "LongDefinition": "Long Definition of series ", "UnitOfMeasure": "Unit Of Measure", "Periodicity": "Periodicity", "BasePeriod": "a period of business or economic activity used as a basis or reference point especially for indexing, calculating, estimating, or adjudicating prices, taxes, compensation, income, and production", "OtherNotes": "Other Notes", "AggregationMethod": "Aggregation Method", "LimitationsAndExceptions": "Limitations And Exceptions", "NotesFromOriginalSource": "Notes From Original Source", "GeneralComments": "General Comments", "Source": "source of this data", "StatisticalConceptAndMethodology": "Statistical Concept And Methodology", "DevelopmentRelevance": "Development Relevance", "RelatedSourceLinks": "Related Source Links", "OtherWebLinks": "Other Web Links", "RelatedIndicators": "Related Indicators", "LicenseType": "License Type" }*/ CREATE TABLE CountryNotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Description TEXT, primary key (Countrycode, Seriescode), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM countrynotes LIMIT 1; Countrycode || Seriescode || Description ABW ||EG.EGY.PRIM.PP.KD ||Sources: Estimated based on UN Energy Statistics (2014); World Development Indicators, WDI (2014) */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Description": "description" }*/ CREATE TABLE Footnotes ( Countrycode TEXT NOT NULL , Seriescode TEXT NOT NULL , Year TEXT, Description TEXT, primary key (Countrycode, Seriescode, Year), FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode), FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM footnotes LIMIT 1; Countrycode || Seriescode || Year || Description ABW ||AG.LND.FRST.K2 ||YR1990 ||Not specified */ /* column definitions { "Countrycode": "code identifying unique countries", "Seriescode": "Series code of countries", "Year": "Year", "Description": "Description of country footnotes" }*/ CREATE TABLE Indicators ( CountryName TEXT, CountryCode TEXT NOT NULL , IndicatorName TEXT, IndicatorCode TEXT NOT NULL , Year INTEGER NOT NULL , Value INTEGER, primary key (CountryCode, IndicatorCode, Year), FOREIGN KEY (CountryCode) REFERENCES Country(CountryCode) ) /* 1 example row: SELECT * FROM indicators LIMIT 1; CountryName ||CountryCode || IndicatorName ||IndicatorCode ||Year ||Value Arab World || ARB ||Adolescent fertility rate (births per 1,000 women ages 15-19) || SP.ADO.TFRT ||1960 || 133 */ /* column definitions { "CountryName": "code identifying unique countries", "CountryCode": "Series code of countries", "IndicatorName": "indicator name", "IndicatorCode": "indicator code", "Year": "year", "Value": "value" }*/ CREATE TABLE SeriesNotes ( Seriescode TEXT not null , Year TEXT not null , Description TEXT, primary key (Seriescode, Year), foreign key (Seriescode) references Series(SeriesCode) ) /* 1 example row: SELECT * FROM seriesnotes LIMIT 1; Seriescode || Year || Description SP.ADO.TFRT ||YR1960 ||Interpolated using data for 1957 and 1962. */ /* column definitions { "Seriescode": "code identifying the series", "Year": "year", "Description": "Description of series" }*/
2,252
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What is the average occupation of users whose ratings are not more than 2 ? Clarification:
[query_database(**{'query': 'SELECT AVG(T2.occupation) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating < 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Among the best actors, how many of them got a rating of 5 to the movies they starred? Clarification:
[query_database(**{'query': 'SELECT COUNT(T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.a_quality = 5 AND T3.rating = 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,260
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Among the worst actresses, how many of them got a rating of more than 3 to the movies they starred? Clarification: Worst actresses means a_quality is the least; The least a_quality is 0
[query_database(**{'query': 'SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid INNER JOIN users AS T4 ON T1.userid = T4.userid WHERE T3.a_quality = 0 AND T1.rating > 3 AND T4.u_gender = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,264
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many female actors acted in the movies of year 4? Clarification: Female actors mean that a_gender = 'F'
[query_database(**{'query': 'SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T3.a_gender = 'F' AND T1.year = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,268
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What is the favourite movie genre for audiences of age 18? Clarification: The audience and users are the same meaning
[query_database(**{'query': 'SELECT T1.genre FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T3.age = 18 GROUP BY T1.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,272
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Please list down ID of movies acted by top 5 actors based on actor rating. Clarification:
[query_database(**{'query': 'SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,276
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Please list the genre of the movies that are the newest and is in English. Clarification: Year contains relative value, higher year value refers to newer date; Year = 4 refers to newest date, Year = 1 refer to oldest date; In English means isEnglish = T
[query_database(**{'query': 'SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 4 AND T1.isEnglish = 'T''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,280
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Among divergent movies that got the highest rating, how many of them are from the UK? Clarification: UK is a country
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T1.rating = 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,284
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question For different directors who direct well, how many of them have directed an action film? Clarification: direct well means the quality of directing is good, which means d_quality = 4.
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.directorid) FROM movies2directors AS T2 INNER JOIN directors AS T3 ON T2.directorid = T3.directorid WHERE T2.genre = 'Action' AND T3.d_quality = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,288
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What is the highest average rating for action movies made in the USA? Clarification: USA is a country
[query_database(**{'query': 'SELECT AVG(T2.rating) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN movies2directors AS T3 ON T1.movieid = T3.movieid WHERE T1.country = 'USA' AND T3.genre = 'Action' GROUP BY T1.movieid ORDER BY AVG(T2.rating) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,292
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What is the most distinct rated movie with a running time of 0? Clarification:
[query_database(**{'query': 'SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime = 0 AND T2.rating = ( SELECT MAX(rating) FROM u2base )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,296
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many of the movies rated 5 are rated by a user between the ages of 25 and 35? Clarification:
[query_database(**{'query': 'SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.age BETWEEN 25 AND 35'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,300
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Which genre contains the greatest number of non-English films? Clarification: isEnglish = 'F' means non-English
[query_database(**{'query': 'SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' GROUP BY T2.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,304
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Please list the actor IDs whose movies have the newest published date. Clarification: Year contains relative value, higher year value refers to newer date; Year = 4 refers to newest date
[query_database(**{'query': 'SELECT T1.actorid FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,308
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question Please list movie IDs which has the oldest publication date and the cast numbers are zero. Clarification: Year contains relative value, higher year value refers to newer date; Year = 1 refer to oldest date
[query_database(**{'query': 'SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 1 AND T2.cast_num = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,312
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many American comedies are there? Clarification: USA is a country
[query_database(**{'query': 'SELECT COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.genre = 'comedy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,316
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What is the disparate number of the comedy films that got the 1 rating? Clarification:
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.movieid) FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T2.rating = 1 AND T1.genre = 'comedy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,320
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many separate 35 year-old uesers have rated the movie from UK? Clarification: UK is a country
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.userid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T1.country = 'UK' AND T3.age = 35'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,324
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many female actors have been played a role in any of French or USA movies? Clarification: French and USA are two countries; Female actors mean that a_gender = 'F'
[query_database(**{'query': 'SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country IN ('France', 'USA')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,328
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many 35-year-old female users gave the movie 1711133 a rating of 3? Clarification: Female users mean that u_gender = 'F'
[query_database(**{'query': 'SELECT COUNT(T1.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.rating = 3 AND T2.movieid = '1711133' AND T1.age = 35 AND T1.u_gender = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,332
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many of the worst actors are men and how many of the worst actors are women? Indicate your answer in ratio form. Clarification: The worst actors means a_quality = 0; Men and male share the same meaning; men actors refers to a_gender = 'M'
[query_database(**{'query': 'SELECT CAST(SUM(IIF(a_gender = 'M', 1, 0)) AS REAL) / SUM(IIF(a_gender = 'F', 1, 0)) FROM actors WHERE a_quality = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,336
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What non-English American film/s has received the lowest user ratings? Mention the movie's I.D. Clarification: USA is a country; non-English means isEnglish = 'F'
[query_database(**{'query': 'SELECT T2.movieid FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' AND T1.country = 'USA' ORDER BY T2.rating LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,340
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question How many horror movies were made by the worst directors? Clarification: d_quality = 5 refers to direct the best, d_quality = 0 refers to direct the worst
[query_database(**{'query': 'SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid INNER JOIN directors AS T3 ON T1.directorid = T3.directorid WHERE T1.genre = 'horror' AND T3.d_quality = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,344
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/ ### Question What is the total amount male and female actors who were casted in movie ID 1684910 and what is the proportion between the highest quality actors against the worst quality of actors? Indicate your answer in percentage. List the the director as well as the genre. Clarification: Female actors mean that a_gender = 'F'; Male actors mean that a_gender = 'M'; a_quality = 5 refers to act the best, a_quality = 0 refers to act the worst
[query_database(**{'query': 'SELECT SUM(IIF(a_gender = 'M', 1, 0)) , SUM(IIF(a_gender = 'F', 1, 0)) , CAST(SUM(IIF(a_quality = 5, 1, 0)) AS REAL) * 100 / COUNT(*) , CAST(SUM(IIF(a_quality = 0, 1, 0)) AS REAL) * 100 / COUNT(*), ( SELECT directorid FROM movies2directors WHERE movieid = 1684910 ) , ( SELECT genre FROM movies2directors WHERE movieid = 1684910 ) FROM actors WHERE actorid IN ( SELECT actorid FROM movies2actors WHERE movieid = 1684910 )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE users ( userid INTEGER default 0 not null primary key, age TEXT not null, u_gender TEXT not null, occupation TEXT not null ) /* 1 example row: SELECT * FROM users LIMIT 1; userid ||age ||u_gender ||occupation 1 || 1 || F || 2 */ /* column definitions { "userid": "unique identifier number of users", "age": "age", "u_gender": "user gender", "occupation ": "occupation" }*/ CREATE TABLE "directors" ( directorid INTEGER not null primary key, d_quality INTEGER not null, avg_revenue INTEGER not null ) /* 1 example row: SELECT * FROM directors LIMIT 1; directorid ||d_quality ||avg_revenue 67 || 4 || 1 */ /* column definitions { "directorid": "unique identification number of actors directors", "d_quality ": "director quality ", "avg_revenue": "average revenue" }*/ CREATE TABLE "actors" ( actorid INTEGER not null primary key, a_gender TEXT not null, a_quality INTEGER not null ) /* 1 example row: SELECT * FROM actors LIMIT 1; actorid ||a_gender ||a_quality 4 || M || 4 */ /* column definitions { "actorid": "unique identificator number of actors", "a_gender": "actor gender", "a_quality": "actor quality" }*/ CREATE TABLE "movies" ( movieid INTEGER default 0 not null primary key, year INTEGER not null, isEnglish TEXT not null, country TEXT not null, runningtime INTEGER not null ) /* 1 example row: SELECT * FROM movies LIMIT 1; movieid ||year ||isEnglish ||country ||runningtime 1672052 || 3 || T || other || 2 */ /* column definitions { "movieid": "unique identifier number of movies", "year": "year", "isEnglish": "is English", "country": "country", "runningtime": "" }*/ CREATE TABLE "movies2actors" ( movieid INTEGER not null references movies on update cascade on delete cascade, actorid INTEGER not null references actors on update cascade on delete cascade, cast_num INTEGER not null, primary key (movieid, actorid) ) /* 1 example row: SELECT * FROM movies2actors LIMIT 1; movieid ||actorid ||cast_num 1672580 || 981535 || 0 */ /* column definitions { "movieid": "identifier number of movies", "": "", "actorid": "identifier number of actors", "cast_num": "cast number" }*/ CREATE TABLE "movies2directors" ( movieid INTEGER not null references movies on update cascade on delete cascade, directorid INTEGER not null references directors on update cascade on delete cascade, genre TEXT not null, primary key (movieid, directorid) ) /* 1 example row: SELECT * FROM movies2directors LIMIT 1; movieid ||directorid || genre 1672111 || 54934 ||Action */ /* column definitions { "movieid": "identifier number of movies", "directorid": "identifier number of directors", "genre": "genre of movies" }*/ CREATE TABLE "u2base" ( userid INTEGER default 0 not null references users on update cascade on delete cascade, movieid INTEGER not null references movies on update cascade on delete cascade, rating TEXT not null, primary key (userid, movieid) ) /* 1 example row: SELECT * FROM u2base LIMIT 1; userid ||movieid ||rating 2 ||1964242 || 1 */ /* column definitions { "userid": "identifier number of users", "movieid": "identifier number of movie", "rating": "ratings of movies" }*/
2,348
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question How many orders has Aimee Bixby made? Clarification: Aimee Bixby made refers to "Customer Name" = 'Aimee Bixby';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,352
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question What is the total quantity of "Telescoping Adjustable Floor Lamp" ordered from central superstores? Clarification: "Telescoping Adjustable Floor Lamp" is a "Product Name"; from central superstores refers to Region = 'Central';
[query_database(**{'query': 'SELECT SUM(T1.Quantity) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Telescoping Adjustable Floor Lamp''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,356
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question For how many times has Aimee Bixby ordered the product Xerox 1952? Clarification: Xerox 1952 is a "Product Name"; Aimee Bixby ordered refers to "Customer Name" = 'Aimee Bixby';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Who is the customer who purchased the largest total cost of products in a single order? Clarification: largest total cost refers to MAX(SUTRACT(MULTIPLY(DIVIDE(Sales, SUTRACT(1, discount)), Quantity), Profit))
[query_database(**{'query': 'SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` GROUP BY T1.`Order ID`, T2.`Customer Name` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Which order of Logitech G600 MMO Gaming Mouse has the highest total cost? Clarification: Logitech G600 MMO Gaming Mouse refers to "Product Name"; highest total cost refers to MAX(SUTRACT(MULTIPLY(DIVIDE(Sales, SUTRACT(1, discount)), Quantity), Profit))
[query_database(**{'query': 'SELECT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Logitech G600 MMO Gaming Mouse' GROUP BY T1.`Order ID` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,368
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Name 10 products that were shipped first class from the East region. Clarification: shipped first class refers to "Ship Mode" = 'First Class'; Region = 'East'
[query_database(**{'query': 'SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'First Class' AND T2.Region = 'East' LIMIT 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,372
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Which item was shipped on 3/4/2013 and scheduled for same day delivery in the South region? Clarification: shipped on 3/4/2013 refers to "Order Date" = date('2013-03-04'); same day delivery refers to "Ship Mode" = 'Same Day'; item refers to "Product Name"
[query_database(**{'query': 'SELECT T2.`Product Name` FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Date` = '2013-03-04' AND T2.Region = 'South' AND T1.`Order Date` = '2013-03-04''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,376
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Which customer ordered 'Global High-Back Leather Tilter, Burgundy' on 10/13/2013 in the East region? Clarification: 'Global High-Back Leather Tilter, Burgundy' is the "Product Name"; on 10/13/2013 refers to "Order Date" = Date('2013-10-13'); Region = 'East'
[query_database(**{'query': 'SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Global High-Back Leather Tilter, Burgundy' AND T1.`Order Date` = '2013-10-13' AND T1.Region = 'East''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,380
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Give the customer segment from the West region that orders the order ID CA-2011-108189. Clarification: Region = 'West'
[query_database(**{'query': 'SELECT DISTINCT T2.Segment FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' AND T1.`Order ID` = 'CA-2011-108189''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,384
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question From which city and state does the customer that bought the product with the highest sales? Clarification: highest sales refers to max(Sales)
[query_database(**{'query': 'SELECT T5.City, T5.State FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3.`Customer ID` INNER JOIN people AS T5 ON T5.`Customer ID` = T4.`Customer ID` ORDER BY T2.Sales DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question List down the customers that purchased the product named Xerox 23 in the South region. Clarification: product named Xerox 23 refers to "Product Name" = 'Xerox 23'; customers refers to "Customer Name"
[query_database(**{'query': 'SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T1.Region = 'South' AND T3.`Product Name` = 'Xerox 23''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Name the customers from the Eastern region whose orders cost above 80000. Clarification: cost above 80000 refers to SUTRACT(MULTIPLY(DIVIDE(Sales, SUTRACT(1, discount)), Quantity), Profit) > 80000
[query_database(**{'query': 'SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'East' AND T1.Sales / (1 - T1.Discount) * T1.Quantity - T1.Profit > 80000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,396
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question List the products that were ordered by Anne McFarland from the Western store. Clarification: Anne McFarland' is the "Customer Name"; Western store refers to west_superstore; products refers to "Product Name"
[query_database(**{'query': 'SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Anne McFarland''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/
2,400
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ ### Question Calculate the total cost of the orders by Brad Thomas in 2016. Clarification: Brad Thomas is the "Customer Name"; in 2016 refers to strftime('%Y', "Order Date") = '2016'; total cost refers to SUM(SUTRACT(MULTIPLY(DIVIDE(Sales, SUTRACT(1, discount)), Quantity), Profit))
[query_database(**{'query': 'SELECT SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) AS cost FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T1.`Product ID` = T3.`Product ID` AND T1.Region = T3.Region WHERE T1.Region = 'East' AND T2.`Customer Name` = 'Brad Thomas' AND strftime('%Y', T1.`Order Date`) = '2016''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE people ( "Customer ID" TEXT, "Customer Name" TEXT, Segment TEXT, Country TEXT, City TEXT, State TEXT, "Postal Code" INTEGER, Region TEXT, primary key ("Customer ID", Region) ) /* 1 example row: SELECT * FROM people LIMIT 1; Customer ID ||Customer Name || Segment || Country || City ||State ||Postal Code || Region AA-10315 || Alex Avila ||Consumer ||United States ||Round Rock ||Texas || 78664 ||Central */ /* column definitions { "Customer ID": "the id of the customers", "Customer Name": "the name of the customers", "Segment": "the segment that the customers belong to", "Country": "the country of people", "City": "the city of people", "State": "the state of people", "Postal Code": "the postal code", "Region": "the region of people" }*/ CREATE TABLE product ( "Product ID" TEXT, "Product Name" TEXT, Category TEXT, "Sub-Category" TEXT, Region TEXT, primary key ("Product ID", Region) ) /* 1 example row: SELECT * FROM product LIMIT 1; Product ID || Product Name || Category ||Sub-Category ||Region FUR-BO-10000330 ||Sauder Camden County Barrister Bookcase, Planked Cherry Finish ||Furniture || Bookcases || West */ /* column definitions { "Product ID": "the id of products", "Product Name": "the name of products", "Category": "the categories of products", "Sub-Category": "the sub-categories of products", "Region": "the region of products" }*/ CREATE TABLE central_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM central_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID || Region || Product ID || Sales ||Quantity ||Discount ||Profit 1 ||CA-2011-103800 ||2013-01-03 ||2013-01-07 ||Standard Class || DP-13000 ||Central ||OFF-PA-10000174 ||16.448 || 2 || 0.2 ||5.5512 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE east_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM east_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID || Sales ||Quantity ||Discount ||Profit 4647 ||CA-2011-141817 ||2013-01-05 ||2013-01-12 ||Standard Class || MB-18085 || East ||OFF-AR-10003478 ||19.536 || 3 || 0.2 || 4.884 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE south_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM south_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 10343 ||CA-2011-106054 ||2013-01-06 ||2013-01-07 ||First Class || JO-15145 || South ||OFF-AR-10002399 ||12.78 || 3 || 0.0 ||5.2398 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/ CREATE TABLE west_superstore ( "Row ID" INTEGER primary key, "Order ID" TEXT, "Order Date" DATE, "Ship Date" DATE, "Ship Mode" TEXT, "Customer ID" TEXT, Region TEXT, "Product ID" TEXT, Sales REAL, Quantity INTEGER, Discount REAL, Profit REAL, foreign key ("Customer ID", Region) references people("Customer ID",Region), foreign key ("Product ID", Region) references product("Product ID",Region) ) /* 1 example row: SELECT * FROM west_superstore LIMIT 1; Row ID || Order ID ||Order Date || Ship Date || Ship Mode ||Customer ID ||Region || Product ID ||Sales ||Quantity ||Discount ||Profit 13583 ||CA-2011-130813 ||2013-01-06 ||2013-01-08 ||Second Class || LS-17230 || West ||OFF-PA-10002005 ||19.44 || 3 || 0.0 ||9.3312 */ /* column definitions { "Row ID": "the unique id for rows", "Order ID": "the unique identifier for the order", "Order Date": "the date of the order", "Ship Date": "the date of the shipment", "Ship Mode": "the ship mode of the order", "Customer ID": "the id of the customer", "Region": "region of the customer's address", "Product ID": "the id of the product", "Sales": "the sales of the product", "Quantity": "the quantity of the product", "Discount": "the discount of the product", "Profit": "the profit that the company got by selling the product" }*/