{"db_id": "concert_singer", "question": "How many singers do we have?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : singer_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "concert_singer", "question": "What is the total number of singers?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : singer_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "concert_singer", "question": "Show name, country, age for all singers ordered by age from the oldest to the youngest.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , country (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What are the names, countries, and ages for every singer in descending order of age?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , country (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What is the average, minimum, and maximum age of all singers from France?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : age (number) , country (text)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "What is the average, minimum, and maximum age for all French singers?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : age (number) , country (text)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "Show the name and the release year of the song by the youngest singer.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : song_name (text) , song_release_year (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What are the names and release years for all the songs of the youngest singer?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : song_name (text) , song_release_year (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What are all distinct countries where singers above age 20 are from?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : country (text) , age (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "What are  the different countries with singers above age 20?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : country (text) , age (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "Show all countries and the number of singers in each country.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : country (text) , singer_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "How many singers are from each country?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : country (text) , singer_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "List all song names by singers above the average age.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : song_name (text) , age (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "What are all the song names by singers who are older than average?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : song_name (text) , age (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "Show location and name for all stadiums with a capacity between 5000 and 10000.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : location (text) , name (text) , capacity (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What are the locations and names of all stations with capacity between 5000 and 10000?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : location (text) , name (text) , capacity (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What is the maximum capacity and the average of all stadiums ?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : capacity (number) , average (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "What is the average and maximum capacities for all stadiums ?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : capacity (number)", "shrink-score": 0.9523809523809523}
{"db_id": "concert_singer", "question": "What is the name and capacity for the stadium with highest average attendance?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , capacity (number) , average (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What is the name and capacity for the stadium with the highest average attendance?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , capacity (number) , average (number)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "How many concerts are there in year 2014 or 2015?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "concert : year (text) , concert_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "How many concerts occurred in 2014 or 2015?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "concert : year (text) , concert_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "Show the stadium name and the number of concerts in each stadium.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , stadium_id (number) | concert : stadium_id (text) , concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "For each stadium, how many concerts play there?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , stadium_id (number) | concert : stadium_id (text) , concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "Show the stadium name and capacity with most number of concerts in year 2014 or after.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , capacity (number) , stadium_id (number) | concert : stadium_id (text) , year (text) , concert_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "concert_singer", "question": "What is the name and capacity of the stadium with the most concerts after 2013 ?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , capacity (number) , stadium_id (number) | concert : stadium_id (text) , year (text) , concert_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "concert_singer", "question": "Which year has most number of concerts?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "concert : year (text) , concert_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "What is the year that had the most concerts?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "concert : year (text) , concert_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "Show the stadium names without any concert.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , stadium_id (number) | concert : stadium_id (text)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What are the names of the stadiums without any concerts?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , stadium_id (number) | concert : stadium_id (text)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "Show countries where a singer above age 40 and a singer below 30 are from.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : country (text) , age (number)", "shrink-score": 0.9047619047619048}
{"db_id": "concert_singer", "question": "Show names for all stadiums except for stadiums having a concert in year 2014.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , stadium_id (number) | concert : stadium_id (text) , year (text)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "What are the names of all stadiums that did not have a concert in 2014?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , stadium_id (number) | concert : stadium_id (text) , year (text)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "Show the name and theme for all concerts and the number of singers in each concert.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "concert : concert_name (text) , theme (text) , concert_id (number) | singer_in_concert : concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "What are the names , themes , and number of singers for every concert ?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "concert : concert_name (text) , theme (text) , concert_id (number) | singer_in_concert : concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "List singer names and number of concerts for each singer.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , singer_id (number) | singer_in_concert : singer_id (text) , concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "What are the names of the singers and number of concerts for each person?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , singer_id (number) | singer_in_concert : singer_id (text) , concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "List all singer names in concerts in year 2014.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , singer_id (number) | singer_in_concert : singer_id (text) , concert_id (number) | concert : concert_id (number) , year (text)", "shrink-score": 0.7142857142857143}
{"db_id": "concert_singer", "question": "What are the names of the singers who performed in a concert in 2014?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , singer_id (number) | singer_in_concert : singer_id (text) , concert_id (number) | concert : concert_id (number) , year (text)", "shrink-score": 0.7142857142857143}
{"db_id": "concert_singer", "question": "what is the name and nation of the singer who have a song having 'Hey' in its name?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , country (text) , song_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "What is the name and country of origin of every singer who has a song with the word 'Hey' in its title?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "singer : name (text) , country (text) , song_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "concert_singer", "question": "Find the name and location of the stadiums which some concerts happened in the years of both 2014 and 2015.", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , location (text) , stadium_id (number) | concert : stadium_id (text) , year (text)", "shrink-score": 0.7619047619047619}
{"db_id": "concert_singer", "question": "What are the names and locations of the stadiums that had concerts that occurred in both 2014 and 2015?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : name (text) , location (text) , stadium_id (number) | concert : stadium_id (text) , year (text)", "shrink-score": 0.7619047619047619}
{"db_id": "concert_singer", "question": "Find the number of concerts happened in the stadium with the highest capacity .", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : stadium_id (number) , capacity (number) | concert : stadium_id (text) , concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "concert_singer", "question": "What are the number of concerts that occurred in the stadium with the largest capacity ?", "schema": "stadium : stadium_id (number) , location (text) , name (text) , capacity (number) , highest (number) , lowest (number) , average (number) | singer : singer_id (number) , name (text) , country (text) , song_name (text) , song_release_year (text) , age (number) , is_male (others) | concert : concert_id (number) , concert_name (text) , theme (text) , stadium_id (text) , year (text) | singer_in_concert : concert_id (number) , singer_id (text)", "summarized-schema": "stadium : stadium_id (number) , capacity (number) | concert : stadium_id (text) , concert_id (number)", "shrink-score": 0.8095238095238095}
{"db_id": "pets_1", "question": "Find the number of pets whose weight is heavier than 10.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , petid (number)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "How many pets have a greater weight than 10?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , petid (number)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "Find the weight of the youngest dog.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , pet_age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "How much does the youngest dog weigh?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , pet_age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "Find the maximum weight for each type of pet. List the maximum weight and pet type.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , pettype (text)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "List the maximum weight and type for each type of pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , pettype (text)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "Find number of pets owned by students who are older than 20.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) , age (number) | has_pet : stuid (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "How many pets are owned by students that have an age greater than 20?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) , age (number) | has_pet : stuid (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "Find the number of dog pets that are raised by female students (with sex F).", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) , sex (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5714285714285714}
{"db_id": "pets_1", "question": "How many dog pets are raised by female students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) , sex (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5714285714285714}
{"db_id": "pets_1", "question": "Find the number of distinct type of pets.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : pettype (text)", "shrink-score": 0.9285714285714286}
{"db_id": "pets_1", "question": "How many different types of pet are there?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : pettype (text)", "shrink-score": 0.9285714285714286}
{"db_id": "pets_1", "question": "Find the first name of students who have cat or dog pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5714285714285714}
{"db_id": "pets_1", "question": "What are the first names of every student who has a cat or dog as a pet?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5714285714285714}
{"db_id": "pets_1", "question": "Find the first name of students who have both cat and dog pets .", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5714285714285714}
{"db_id": "pets_1", "question": "What are the students' first names who have both cats and dogs as pets?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5714285714285714}
{"db_id": "pets_1", "question": "Find the major and age of students who do not have a cat pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : major (number) , age (number) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5}
{"db_id": "pets_1", "question": "What major is every student who does not own a cat as a pet, and also how old are they?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : major (number) , age (number) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5}
{"db_id": "pets_1", "question": "Find the id of students who do not have a cat pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.6428571428571429}
{"db_id": "pets_1", "question": "What are the ids of the students who do not own cats as pets?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.6428571428571429}
{"db_id": "pets_1", "question": "Find the first name and age of students who have a dog but do not have a cat as a pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5}
{"db_id": "pets_1", "question": "What is the first name of every student who has a dog but does not have a cat?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text)", "shrink-score": 0.5}
{"db_id": "pets_1", "question": "Find the type and weight of the youngest pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : pettype (text) , weight (number) , pet_age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "What type of pet is the youngest animal, and how much does it weigh?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : pettype (text) , weight (number) , pet_age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "Find the id and weight of all pets whose age is older than 1.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : petid (number) , weight (number) , pet_age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "What is the id and weight of every pet who is older than 1?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : petid (number) , weight (number) , pet_age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "Find the average and maximum age for each type of pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : pet_age (number) , pettype (text)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "What is the average and maximum age for each pet type?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : pet_age (number) , pettype (text)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "Find the average weight for each pet type.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , pettype (text)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "What is the average weight for each type of pet?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "pets : weight (number) , pettype (text)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "Find the first name and age of students who have a pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | has_pet : stuid (number)", "shrink-score": 0.7142857142857143}
{"db_id": "pets_1", "question": "What are the different first names and ages of the students who do have pets?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | has_pet : stuid (number)", "shrink-score": 0.7142857142857143}
{"db_id": "pets_1", "question": "Find the id of the pet owned by student whose last name is \u2018Smith\u2019.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "has_pet : petid (number) , stuid (number) | student : stuid (number) , lname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "pets_1", "question": "What is the id of the pet owned by the student whose last name is 'Smith'?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "has_pet : petid (number) , stuid (number) | student : stuid (number) , lname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "pets_1", "question": "Find the number of pets for each student who has any pet and student id.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) | has_pet : stuid (number)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "For students who have pets , how many pets does each student have ? list their ids instead of names .", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : stuid (number) | has_pet : stuid (number)", "shrink-score": 0.8571428571428571}
{"db_id": "pets_1", "question": "Find the first name and gender of student who have more than one pet.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , sex (text) , stuid (number) | has_pet : stuid (number)", "shrink-score": 0.7142857142857143}
{"db_id": "pets_1", "question": "What is the first name and gender of the all the students who have more than one pet?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : fname (text) , sex (text) , stuid (number) | has_pet : stuid (number)", "shrink-score": 0.7142857142857143}
{"db_id": "pets_1", "question": "Find the last name of the student who has a cat that is age 3.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : lname (text) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pet_age (number) , pettype (text)", "shrink-score": 0.5}
{"db_id": "pets_1", "question": "What is the last name of the student who has a cat that is 3 years old?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : lname (text) , stuid (number) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pet_age (number) , pettype (text)", "shrink-score": 0.5}
{"db_id": "pets_1", "question": "Find the average age of students who do not have any pet .", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : age (number) , stuid (number) | has_pet : stuid (number)", "shrink-score": 0.7857142857142857}
{"db_id": "pets_1", "question": "What is the average age for all students who do not own any pets ?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | has_pet : stuid (number) , petid (number) | pets : petid (number) , pettype (text) , pet_age (number) , weight (number)", "summarized-schema": "student : age (number) , stuid (number) | has_pet : stuid (number)", "shrink-score": 0.7857142857142857}
{"db_id": "car_1", "question": "How many continents are there?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "continents : contid (number)", "shrink-score": 0.9565217391304348}
{"db_id": "car_1", "question": "What is the number of continents?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "continents : contid (number)", "shrink-score": 0.9565217391304348}
{"db_id": "car_1", "question": "How many countries does each continent have? List the continent id, continent name and the number of countries.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "continents : contid (number) , continent (text) | countries : continent (number) , countryid (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "For each continent, list its id, name, and how many countries it has?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "continents : contid (number) , continent (text) | countries : continent (number) , countryid (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "How many countries are listed?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryid (number)", "shrink-score": 0.9565217391304348}
{"db_id": "car_1", "question": "How many countries exist?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryid (number)", "shrink-score": 0.9565217391304348}
{"db_id": "car_1", "question": "How many models does each car maker produce? List maker full name, id and the number.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : fullname (text) , id (number) , maker (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What is the full name of each car maker, along with its id and how many models it produces?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : fullname (text) , id (number) , maker (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "Which model of the car has the minimum horsepower?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , horsepower (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the model of the car with the smallest amount of horsepower?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , horsepower (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "Find the model of the car whose weight is below the average weight.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , weight (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the model for the car with a weight smaller than the average?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , weight (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "Find the name of the makers that produced some cars in the year of 1970?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : maker (text) , id (number) | model_list : maker (number) , model (text) | cars_data : id (number) , year (number) | car_names : model (text) , makeid (number)", "shrink-score": 0.6521739130434783}
{"db_id": "car_1", "question": "What is the name of the different car makers who produced a car in 1970?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : maker (text) , id (number) | model_list : maker (number) , model (text) | cars_data : id (number) , year (number) | car_names : model (text) , makeid (number)", "shrink-score": 0.6521739130434783}
{"db_id": "car_1", "question": "Find the make and production time of the cars that were produced in the earliest year?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : make (text) , makeid (number) | cars_data : year (number) , id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the maker of the carr produced in the earliest year and what year was it?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : make (text) , makeid (number) | cars_data : year (number) , id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "Which distinct car models are the produced after 1980?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : model (text) | car_names : model (text) , makeid (number) | cars_data : id (number) , year (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What are the different models for the cards produced after 1980?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : model (text) | car_names : model (text) , makeid (number) | cars_data : id (number) , year (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "How many car makers are there in each continents? List the continent name and the count.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "continents : continent (text) , contid (number) | countries : continent (number) , countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.7391304347826086}
{"db_id": "car_1", "question": "What is the name of each continent and how many car makers are there in each one?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "continents : continent (text) , contid (number) | countries : continent (number) , countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.7391304347826086}
{"db_id": "car_1", "question": "Which of the countries has the most car makers? List the country name.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the name of the country with the most car makers?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "How many car models are produced by each maker ? Only list the count and the maker full name .", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : fullname (text) , maker (text) , id (number) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What is the number of car models that are produced by each maker and what is the id and full name of each maker?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : fullname (text) , id (number) , maker (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What is the accelerate of the car make amc hornet sportabout (sw)?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : accelerate (number) , id (number) | car_names : makeid (number) , make (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "How much does the car accelerate that makes amc hornet sportabout (sw)?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : accelerate (number) , id (number) | car_names : makeid (number) , make (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "How many car makers are there in france?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : country (text) , id (number) | countries : countryid (number) , countryname (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the number of makers of care in France?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : country (text) , id (number) | countries : countryid (number) , countryname (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "How many car models are produced in the usa?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : maker (text) , id (number) , country (text) | model_list : maker (number) , modelid (number) | countries : countryid (number) , countryname (text)", "shrink-score": 0.6956521739130435}
{"db_id": "car_1", "question": "What is the count of the car models produced in the United States?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : maker (text) , id (number) , country (text) | model_list : maker (number) , modelid (number) | countries : countryid (number) , countryname (text)", "shrink-score": 0.6956521739130435}
{"db_id": "car_1", "question": "What is the average miles per gallon(mpg) of the cars with 4 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : mpg (text) , cylinders (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the average miles per gallon of all the cards with 4 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : mpg (text) , cylinders (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the smallest weight of the car produced with 8 cylinders on 1974 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : weight (number) , cylinders (number) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "What is the minimum weight of the car with 8 cylinders produced in 1974 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : weight (number) , cylinders (number) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "What are all the makers and models?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : maker (number) , model (text)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What are the makers and models?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : maker (number) , model (text)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What are the countries having at least one car maker? List name and id.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What are the names and ids of all countries with at least one car maker?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the number of the cars with horsepower more than 150?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the number of cars with a horsepower greater than 150?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the average weight of cars each year?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : weight (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the average weight and year for each year?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : weight (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "Which countries in europe have at least 3 car manufacturers?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , continent (number) , countryid (number) | continents : continent (text) , contid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.6956521739130435}
{"db_id": "car_1", "question": "What are the names of all European countries with at least 3 manufacturers?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , continent (number) , countryid (number) | continents : continent (text) , contid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.6956521739130435}
{"db_id": "car_1", "question": "What is the maximum horsepower and the make of the car models with 3 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , id (number) , cylinders (number) | car_names : make (text) , makeid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What is the largest amount of horsepower for the models with 3 cylinders and what make is it?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , id (number) , cylinders (number) | car_names : make (text) , makeid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "Which model saves the most gasoline? That is to say, have the maximum miles per gallon.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , mpg (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the car model with the highest mpg ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , mpg (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the average horsepower of the cars before 1980?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the average horsepower for all cars produced before 1980 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the average edispl of the cars of model volvo?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : edispl (number) , id (number) | car_names : makeid (number) , model (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the average edispl for all volvos?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : edispl (number) , id (number) | car_names : makeid (number) , model (text)", "shrink-score": 0.8260869565217391}
{"db_id": "car_1", "question": "What is the maximum accelerate for different number of cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : accelerate (number) , cylinders (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the maximum accelerate for all the different cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : accelerate (number) , cylinders (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "Which model has the most version(make) of cars?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What model has the most different versions?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "How many cars have more than 4 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : cylinders (number) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the number of cars with more than 4 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : cylinders (number) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "how many cars were produced in 1980?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : year (number) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "In 1980, how many cars were made?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : year (number) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "How many car models were produced by the maker with full name American Motor Company?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : id (number) , maker (text) , fullname (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What is the number of car models created by the car maker American Motor Company?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : id (number) , maker (text) , fullname (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "Which makers designed more than 3 car models? List full name and the id.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : fullname (text) , id (number) , maker (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What are the names and ids of all makers with more than 3 models?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : fullname (text) , id (number) , maker (text) | model_list : maker (number) , modelid (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "Which distinctive models are produced by maker with the full name General Motors or weighing more than 3500?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : model (text) , maker (number) | car_names : model (text) , makeid (number) | car_makers : maker (text) , id (number) , fullname (text) | cars_data : id (number) , weight (number)", "shrink-score": 0.6086956521739131}
{"db_id": "car_1", "question": "What are the different models created by either the car maker General Motors or weighed more than 3500?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : model (text) , maker (number) | car_names : model (text) , makeid (number) | car_makers : maker (text) , id (number) , fullname (text) | cars_data : id (number) , weight (number)", "shrink-score": 0.6086956521739131}
{"db_id": "car_1", "question": "In which years cars were produced weighing no less than 3000 and no more than 4000 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : year (number) , weight (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : year (number) , weight (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the horsepower of the car with the largest accelerate?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , accelerate (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the horsepower of the car with the greatest accelerate?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : horsepower (text) , accelerate (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "For model volvo, how many cylinders does the car with the least accelerate have?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : cylinders (number) , id (number) , accelerate (number) | car_names : makeid (number) , model (text)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "For a volvo model, how many cylinders does the version with least accelerate have?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : cylinders (number) , id (number) , accelerate (number) | car_names : makeid (number) , model (text)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "How many cars have a larger accelerate than the car with the largest horsepower?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : accelerate (number) , horsepower (text) , id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "What is the number of cars with a greater accelerate than the one with the most horsepower?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : accelerate (number) , horsepower (text) , id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "How many countries has more than 2 car makers ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "What is the number of countries with more than 2 car makers ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryid (number) | car_makers : country (text) , id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "How many cars has over 6 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : cylinders (number) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "What is the number of carsw ith over 6 cylinders?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : cylinders (number) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "car_1", "question": "For the cars with 4 cylinders, which model has the largest horsepower?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , cylinders (number) , horsepower (text)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "For all of the 4 cylinder cars, which model has the most horsepower?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : model (text) , makeid (number) | cars_data : id (number) , cylinders (number) , horsepower (text)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "Among the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name.", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : makeid (number) , make (text) | cars_data : id (number) , horsepower (text) , cylinders (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "Among the cars that do not have the minimum horsepower , what are the make ids and names of all those with less than 4 cylinders ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_names : makeid (number) , make (text) | cars_data : id (number) , horsepower (text) , cylinders (number)", "shrink-score": 0.782608695652174}
{"db_id": "car_1", "question": "What is the maximum miles per gallon of the car with 8 cylinders or produced before 1980 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : mpg (text) , cylinders (number) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "What is the maximum mpg of the cars that had 8 cylinders or that were produced before 1980 ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "cars_data : mpg (text) , cylinders (number) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "Which models are lighter than 3500 but not built by the 'Ford Motor Company'?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : model (text) , maker (number) | car_names : model (text) , makeid (number) | car_makers : id (number) , maker (text) , fullname (text) | cars_data : id (number) , weight (number)", "shrink-score": 0.6086956521739131}
{"db_id": "car_1", "question": "What are the different models wthat are lighter than 3500 but were not built by the Ford Motor Company?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "model_list : model (text) , maker (number) | car_names : model (text) , makeid (number) | car_makers : id (number) , maker (text) , fullname (text) | cars_data : id (number) , weight (number)", "shrink-score": 0.6086956521739131}
{"db_id": "car_1", "question": "What are the name of the countries where there is not a single car maker?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , countryid (number) | car_makers : country (text)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "What are the names of the countries with no car makers?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryname (text) , countryid (number) | car_makers : country (text)", "shrink-score": 0.8695652173913043}
{"db_id": "car_1", "question": "Which are the car makers which produce at least 2 models and more than 3 car makers ? List the id and the maker .", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : id (number) , maker (text) | model_list : maker (number) , model (text) , modelid (number) | car_names : model (text) , makeid (number)", "shrink-score": 0.6956521739130435}
{"db_id": "car_1", "question": "What are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "car_makers : id (number) , maker (text) | model_list : maker (number) , model (text) , modelid (number) | car_names : model (text) , makeid (number)", "shrink-score": 0.6956521739130435}
{"db_id": "car_1", "question": "What are the id and names of the countries which have more than 3 car makers or produce the 'fiat' model?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryid (number) , countryname (text) | car_makers : country (text) , id (number) , maker (text) | model_list : maker (number) , model (text) , modelid (number)", "shrink-score": 0.6521739130434783}
{"db_id": "car_1", "question": "What are the ids and names of all countries that either have more than 3 car makers or produce fiat model ?", "schema": "continents : contid (number) , continent (text) | countries : countryid (number) , countryname (text) , continent (number) | car_makers : id (number) , maker (text) , fullname (text) , country (text) | model_list : modelid (number) , maker (number) , model (text) | car_names : makeid (number) , model (text) , make (text) | cars_data : id (number) , mpg (text) , cylinders (number) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (number)", "summarized-schema": "countries : countryid (number) , countryname (text) | car_makers : country (text) , id (number) , maker (text) | model_list : maker (number) , model (text) , modelid (number)", "shrink-score": 0.6521739130434783}
{"db_id": "flight_2", "question": "Which country does Airline \"JetBlue Airways\" belong to?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : country (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "What country is Jetblue Airways affiliated with?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : country (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "What is the abbreviation of Airline \"JetBlue Airways\"?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : abbreviation (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Which abbreviation corresponds to Jetblue Airways?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : abbreviation (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "List all airline names and their abbreviations in \"USA\".", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , abbreviation (text) , country (text)", "shrink-score": 0.7692307692307693}
{"db_id": "flight_2", "question": "What are the airline names and abbreviations for airlines in the USA?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , abbreviation (text) , country (text)", "shrink-score": 0.7692307692307693}
{"db_id": "flight_2", "question": "List the airport code and name in the city of Anthony.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text) , airportname (text) , city (text)", "shrink-score": 0.7692307692307693}
{"db_id": "flight_2", "question": "Give the airport code and airport name corresonding to the city Anthony.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text) , airportname (text) , city (text)", "shrink-score": 0.7692307692307693}
{"db_id": "flight_2", "question": "How many airlines do we have?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : uid (number)", "shrink-score": 0.9230769230769231}
{"db_id": "flight_2", "question": "What is the total number of airlines?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : uid (number)", "shrink-score": 0.9230769230769231}
{"db_id": "flight_2", "question": "How many airports do we have?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text)", "shrink-score": 0.9230769230769231}
{"db_id": "flight_2", "question": "Return the number of  airports.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text)", "shrink-score": 0.9230769230769231}
{"db_id": "flight_2", "question": "How many flights do we have?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : airline (text)", "shrink-score": 0.9230769230769231}
{"db_id": "flight_2", "question": "Return the number of flights.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : airline (text)", "shrink-score": 0.9230769230769231}
{"db_id": "flight_2", "question": "Which airline has abbreviation 'UAL'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , abbreviation (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Give the airline with abbreviation 'UAL'.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , abbreviation (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "How many airlines are from USA?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : country (text) , uid (number)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Return the number of airlines in the USA.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : country (text) , uid (number)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Which city and country is the Alton airport at?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : city (text) , country (text) , airportname (text)", "shrink-score": 0.7692307692307693}
{"db_id": "flight_2", "question": "Give the city and country for the Alton airport.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : city (text) , country (text) , airportname (text)", "shrink-score": 0.7692307692307693}
{"db_id": "flight_2", "question": "What is the airport name for airport 'AKO'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportname (text) , airportcode (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Return the name of the airport with code 'AKO'.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportname (text) , airportcode (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "What are airport names at City 'Aberdeen'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportname (text) , city (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "What are the names of airports in Aberdeen?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportname (text) , city (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "How many flights depart from 'APG'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : sourceairport (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Count the number of flights departing from 'APG'.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : sourceairport (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "How many flights have destination ATO?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Count the number of flights into ATO.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "How many flights depart from City Aberdeen?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : sourceairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Return the number of flights departing from Aberdeen.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : sourceairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "How many flights arriving in Aberdeen city?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Return the number of flights arriving in Aberdeen.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "How many flights depart from City 'Aberdeen' and have destination City 'Ashley'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , sourceairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6153846153846154}
{"db_id": "flight_2", "question": "How many flights fly from Aberdeen to Ashley?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , sourceairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6153846153846154}
{"db_id": "flight_2", "question": "How many flights does airline 'JetBlue Airways' have?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Give the number of Jetblue Airways flights.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "How many 'United Airlines' flights go to Airport 'ASY'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , destairport (text) , airline (text)", "shrink-score": 0.6153846153846154}
{"db_id": "flight_2", "question": "Count the number of United Airlines flights arriving in ASY Airport.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , destairport (text) , airline (text)", "shrink-score": 0.6153846153846154}
{"db_id": "flight_2", "question": "How many 'United Airlines' flights depart from Airport 'AHD'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text) , airline (text)", "shrink-score": 0.6153846153846154}
{"db_id": "flight_2", "question": "Return the number of United Airlines flights leaving from AHD Airport.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text) , airline (text)", "shrink-score": 0.6153846153846154}
{"db_id": "flight_2", "question": "How many United Airlines flights go to City 'Aberdeen'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (number) , airline (text) | airports : airportcode (text) , city (text) | airlines : uid (number) , airline (text)", "shrink-score": 0.46153846153846156}
{"db_id": "flight_2", "question": "Count the number of United Airlines flights that arrive in Aberdeen.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (number) , airline (text) | airports : airportcode (text) , city (text) | airlines : uid (number) , airline (text)", "shrink-score": 0.46153846153846156}
{"db_id": "flight_2", "question": "Which city has most number of arriving flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : city (text) , airportcode (text) | flights : destairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which city has the most frequent destination airport?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : city (text) , airportcode (text) | flights : destairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which city has most number of departing flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : city (text) , airportcode (text) | flights : sourceairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which city is the most frequent source airport?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : city (text) , airportcode (text) | flights : sourceairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What is the code of airport that has the highest number of flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text) | flights : destairport (text) , sourceairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What is the airport code of the airport with the most flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text) | flights : destairport (text) , sourceairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What is the code of airport that has fewest number of flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text) | flights : destairport (text) , sourceairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Give the code of the airport with the least flights.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportcode (text) | flights : destairport (text) , sourceairport (text) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airline has most number of flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What airline serves the most flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find the abbreviation and country of the airline that has fewest number of flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : abbreviation (text) , country (text) , uid (number) , airline (text) | flights : airline (number) , airline (text)", "shrink-score": 0.5384615384615384}
{"db_id": "flight_2", "question": "What is the abbreviation of the airilne has the fewest flights and what country is it in?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : abbreviation (text) , country (text) , uid (number) , airline (text) | flights : airline (number) , airline (text)", "shrink-score": 0.5384615384615384}
{"db_id": "flight_2", "question": "What are airlines that have some flight departing from airport 'AHD'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airlines have a flight with source airport AHD?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What are airlines that have flights arriving at airport 'AHD'?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , destairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airlines have a flight with destination airport AHD?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , destairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find all airlines that have flights from both airports 'APG' and 'CVO'.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airlines have departing flights from both APG and CVO airports?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find all airlines that have flights from airport 'CVO' but not from 'APG'.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airlines have departures from CVO but not from APG airports?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , sourceairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find all airlines that have at least 10 flights.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airlines have at least 10 flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find all airlines that have fewer than 200 flights.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airlines have less than 200 flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airlines : airline (text) , uid (number) | flights : airline (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What are flight numbers of Airline \"United Airlines\"?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , airline (number) | airlines : uid (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which flight numbers correspond to United Airlines flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , airline (number) | airlines : uid (number) , airline (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What are flight numbers of flights departing from Airport \"APG\"?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , sourceairport (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Give the flight numbers of flights leaving from APG.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , sourceairport (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "What are flight numbers of flights arriving at Airport \"APG\"?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , destairport (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "Give the flight numbers of flights landing at APG.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , destairport (text)", "shrink-score": 0.8461538461538461}
{"db_id": "flight_2", "question": "What are flight numbers of flights departing from City \"Aberdeen \"?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , sourceairport (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Give the flight numbers of flights leaving from Aberdeen.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , sourceairport (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "What are flight numbers of flights arriving at City \"Aberdeen\"?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , destairport (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Give the flight numbers of flights arriving in Aberdeen.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : flightno (number) , destairport (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find the number of flights landing in the city of Aberdeen or Abilene.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "How many flights land in Aberdeen or Abilene?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "flights : destairport (text) , airline (text) | airports : airportcode (text) , city (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Find the name of airports which do not have any flight in and out.", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportname (text) , airportcode (text) | flights : sourceairport (text) , destairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "flight_2", "question": "Which airports do not have departing or arriving flights?", "schema": "airlines : uid (number) , airline (text) , abbreviation (text) , country (text) | airports : city (text) , airportcode (text) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (number) , flightno (number) , sourceairport (text) , destairport (text)", "summarized-schema": "airports : airportname (text) , airportcode (text) | flights : sourceairport (text) , destairport (text)", "shrink-score": 0.6923076923076923}
{"db_id": "employee_hire_evaluation", "question": "How many employees are there?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : employee_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Count the number of employees", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : employee_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Sort employee names by their age in ascending order.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , age (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "List the names of employees and sort in ascending order of age.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , age (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "What is the number of employees from each city?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : city (text) , employee_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "Count the number of employees for each city.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : city (text) , employee_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "Which cities do more than one employee under age 30 come from?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : city (text) , age (number) , employee_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "Find the cities that have more than one employee under age 30.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : city (text) , age (number) , employee_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "Find the number of shops in each location.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : location (text) , shop_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "How many shops are there in each location?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : location (text) , shop_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "Find the manager name and district of the shop whose number of products is the largest.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : manager_name (text) , district (text) , number_products (number)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "What are the manager name and district of the shop that sells the largest number of products?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : manager_name (text) , district (text) , number_products (number)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "find the minimum and maximum number of products of all stores.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : number_products (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "What are the minimum and maximum number of products across all the shops?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : number_products (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Return the name, location and district of all shops in descending order of number of products.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , location (text) , district (text) , number_products (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Sort all the shops by number products in descending order, and return the name, location and district of each shop.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , location (text) , district (text) , number_products (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Find the names of stores whose number products is more than the average number of products.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , number_products (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "Which shops' number products is above the average? Give me the shop names.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , number_products (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "find the name of employee who was awarded the most times in the evaluation.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , employee_id (number) | evaluation : employee_id (text) , employee_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Which employee received the most awards in evaluations? Give me the employee name.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , employee_id (number) | evaluation : employee_id (text) , employee_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Find the name of the employee who got the highest one time bonus.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , employee_id (number) | evaluation : employee_id (text) , bonus (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Which employee received the biggest bonus? Give me the employee name.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , employee_id (number) | evaluation : employee_id (text) , bonus (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Find the names of employees who never won any award in the evaluation.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , employee_id (number) | evaluation : employee_id (text)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "What are the names of the employees who never received any evaluation?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "employee : name (text) , employee_id (number) | evaluation : employee_id (text)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "What is the name of the shop that is hiring the largest number of employees?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , shop_id (number) | hiring : shop_id (number) , employee_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Which shop has the most employees? Give me the shop name.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , shop_id (number) | hiring : shop_id (number) , employee_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "Find the name of the shops that do not hire any employee.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , shop_id (number) | hiring : shop_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "Which shops run with no employees? Find the shop names", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , shop_id (number) | hiring : shop_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "employee_hire_evaluation", "question": "Find the number of employees hired in each shop; show the shop name as well.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , shop_id (number) | hiring : shop_id (number) , employee_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "For each shop, return the number of employees working there and the name of the shop.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : name (text) , shop_id (number) | hiring : shop_id (number) , employee_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "employee_hire_evaluation", "question": "What is total bonus given in all evaluations?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "evaluation : bonus (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Find the total amount of bonus given in all the evaluations.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "evaluation : bonus (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Give me all the information about hiring.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "hiring : employee_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "What is all the information about hiring?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "hiring : employee_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Which district has both stores with less than 3000 products and stores with more than 10000 products?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : district (text) , number_products (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "Find the districts in which there are both shops selling less than 3000 products and shops selling more than 10000 products.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : district (text) , number_products (number)", "shrink-score": 0.8823529411764706}
{"db_id": "employee_hire_evaluation", "question": "How many different store locations are there?", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : location (text)", "shrink-score": 0.9411764705882353}
{"db_id": "employee_hire_evaluation", "question": "Count the number of distinct store locations.", "schema": "employee : employee_id (number) , name (text) , age (number) , city (text) | shop : shop_id (number) , name (text) , location (text) , district (text) , number_products (number) , manager_name (text) | hiring : shop_id (number) , employee_id (number) , start_from (text) , is_full_time (others) | evaluation : employee_id (text) , year_awarded (text) , bonus (number)", "summarized-schema": "shop : location (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many documents do we have?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of documents.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "List document IDs, document names, and document descriptions for all documents.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) , document_description (text)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids, names, and descriptions for all documents?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) , document_description (text)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the document name and template id for document with description with the letter 'w' in it?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_name (text) , template_id (number) , document_description (text)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the names and template ids for documents that contain the letter w in their description.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_name (text) , template_id (number) , document_description (text)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the document id, template id and description for document named \"Robbin CV\"?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , template_id (number) , document_description (text) , document_name (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the document id, template id, and description for the document with the name Robbin CV.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , template_id (number) , document_description (text) , document_name (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many different templates do all document use?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : template_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of different templates used for documents.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : template_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many documents are using the template with type code 'PPT'?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of documents that use the PPT template type.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all template ids and number of documents using each template.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : template_id (number) , document_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are all different template ids used for documents, and how many times were each of them used?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : template_id (number) , document_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the id and type code for the template used by the most documents?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the id and type code of the template that is used for the greatest number of documents.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show ids for all templates that are used by more than one document.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : template_id (number) , document_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the template ids of any templates used in more than a single document?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : template_id (number) , document_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show ids for all templates not used by any document.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) | documents : template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids for templates that are not used in any documents?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) | documents : template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many templates do we have?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of templates.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show template ids, version numbers, and template type codes for all templates.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , version_number (number) , template_type_code (text)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids, version numbers, and type codes for each template?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , version_number (number) , template_type_code (text)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all distinct template type codes for all templates.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the different template type codes?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids of templates with template type code PP or PPT?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the ids of templates that have the code PP or PPT.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many templates have template type code CV?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of templates of the type CV.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the version number and template type code for the template with version number later than 5?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : version_number (number) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the version numbers and template type codes of templates with a version number greater than 5.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : version_number (number) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all template type codes and number of templates for each.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the different template type codes, and how many templates correspond to each?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Which template type code has most number of templates?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the type code of the template type that the most templates belong to.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all template type codes with less than three templates.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the codes of template types that have fewer than 3 templates?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What the smallest version number and its template type code?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : version_number (number) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the lowest version number, along with its corresponding template type code.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : version_number (number) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the template type code of the template used by document with the name \"Data base\"?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number) , document_name (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the template type code of the template that is used by a document named Data base.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number) , document_name (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all document names using templates with template type code BK.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_name (text) , template_id (number) | templates : template_id (number) , template_type_code (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the names of documents that use templates with the code BK?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_name (text) , template_id (number) | templates : template_id (number) , template_type_code (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all template type codes and the number of documents using each type.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the different template type codes, and how many documents use each type?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Which template type code is used by most number of documents?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the code of the template type that is most commonly used in documents.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number) , document_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all template type codes that are not used by any document.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the codes of template types that are not used for any document?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_type_code (text) , template_id (number) | documents : template_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all template type codes and descriptions.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_code (text) , template_type_description (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the type codes and descriptions for all template types?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_code (text) , template_type_description (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the template type descriptions for template type code \"AD\".", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_description (text) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the template type description of the template type with the code AD.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_description (text) , template_type_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the template type code for template type description \"Book\".", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_code (text) , template_type_description (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the type code of the template type with the description \"Book\".", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_code (text) , template_type_description (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the distinct template type descriptions for the templates ever used by any document?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_description (text) , template_type_code (text) | templates : template_type_code (text) , template_id (number) | documents : template_id (number)", "shrink-score": 0.7058823529411765}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the different descriptions for templates that have been used in a document.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "ref_template_types : template_type_description (text) , template_type_code (text) | templates : template_type_code (text) , template_id (number) | documents : template_id (number)", "shrink-score": 0.7058823529411765}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the template ids with template type description \"Presentation\".", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text) | ref_template_types : template_type_code (text) , template_type_description (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the ids corresponding to templates with the description 'Presentation'.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "templates : template_id (number) , template_type_code (text) | ref_template_types : template_type_code (text) , template_type_description (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many paragraphs in total?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : paragraph_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of paragraphs.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : paragraph_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cre_Doc_Template_Mgt", "question": "How many paragraphs for the document with name 'Summer Show'?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Count the number of paragraphs in the document named 'Summer Show'.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show paragraph details for paragraph with text 'Korea ' .", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : other_details (text) , paragraph_text (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the details for the paragraph that includes the text 'Korea ' ?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : other_details (text) , paragraph_text (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all paragraph ids and texts for the document with name 'Welcome to NY'.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : paragraph_id (number) , paragraph_text (text) , document_id (number) | documents : document_id (number) , document_name (text)", "shrink-score": 0.7058823529411765}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids and texts of paragraphs in the document titled 'Welcome to NY'?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : paragraph_id (number) , paragraph_text (text) , document_id (number) | documents : document_id (number) , document_name (text)", "shrink-score": 0.7058823529411765}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all paragraph texts for the document \"Customer reviews\".", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : paragraph_text (text) , document_id (number) | documents : document_id (number) , document_name (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the paragraph texts for the document with the name 'Customer reviews'?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : paragraph_text (text) , document_id (number) | documents : document_id (number) , document_name (text)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all document ids and the number of paragraphs in each document. Order by document id.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the different document ids along with the number of paragraphs corresponding to each, ordered by id.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show all document ids, names and the number of paragraphs in each document.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids and names of each document, as well as the number of paragraphs in each?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "List all document ids with at least two paragraphs.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids of documents that have 2 or more paragraphs?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the document id and name with greatest number of paragraphs?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the id and name of the document with the most paragraphs.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the document id with least number of paragraphs?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Return the id of the document with the fewest paragraphs.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What is the document id with 1 to 2 paragraphs?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Give the ids of documents that have between one and two paragraphs.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "Show the document id with paragraph text 'Brazil' and 'Ireland'.", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_text (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cre_Doc_Template_Mgt", "question": "What are the ids of documents that contain the paragraph text 'Brazil' and 'Ireland'?", "schema": "ref_template_types : template_type_code (text) , template_type_description (text) | templates : template_id (number) , version_number (number) , template_type_code (text) , date_effective_from (time) , date_effective_to (time) , template_details (text) | documents : document_id (number) , template_id (number) , document_name (text) , document_description (text) , other_details (text) | paragraphs : paragraph_id (number) , document_id (number) , paragraph_text (text) , other_details (text)", "summarized-schema": "paragraphs : document_id (number) , paragraph_text (text)", "shrink-score": 0.8823529411764706}
{"db_id": "course_teach", "question": "How many teachers are there?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : teacher_id (number)", "shrink-score": 0.9}
{"db_id": "course_teach", "question": "What is the total count of teachers?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : teacher_id (number)", "shrink-score": 0.9}
{"db_id": "course_teach", "question": "List the names of teachers in ascending order of age.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , age (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What are the names of the teachers ordered by ascending age?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , age (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What are the age and hometown of teachers?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : age (text) , hometown (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What is the age and hometown of every teacher?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : age (text) , hometown (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "List the name of teachers whose hometown is not `` Little Lever Urban District '' .", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , hometown (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What are the names of the teachers whose hometown is not `` Little Lever Urban District '' ?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , hometown (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "Show the name of teachers aged either 32 or 33?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , age (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What are the names of the teachers who are aged either 32 or 33?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , age (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What is the hometown of the youngest teacher?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , age (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "Where is the youngest teacher from?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , age (text)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "Show different hometown of teachers and the number of teachers from each hometown.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , teacher_id (number)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "For each hometown, how many teachers are there?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , teacher_id (number)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "List the most common hometown of teachers.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , teacher_id (number)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What is the most commmon hometowns for teachers?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , teacher_id (number)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "Show the hometowns shared by at least two teachers.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , teacher_id (number)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "What are the towns from which at least two teachers come from?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : hometown (text) , teacher_id (number)", "shrink-score": 0.8}
{"db_id": "course_teach", "question": "Show names of teachers and the courses they are arranged to teach.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course : course (text) , course_id (number) | course_arrange : course_id (number) , teacher_id (number)", "shrink-score": 0.4}
{"db_id": "course_teach", "question": "What is the name of each teacher and what course they teach?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course : course (text) , course_id (number) | course_arrange : course_id (number) , teacher_id (number)", "shrink-score": 0.4}
{"db_id": "course_teach", "question": "Show names of teachers and the courses they are arranged to teach in ascending alphabetical order of the teacher's name.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course : course (text) , course_id (number) | course_arrange : course_id (number) , teacher_id (number)", "shrink-score": 0.4}
{"db_id": "course_teach", "question": "What are the names of the teachers and the courses they teach in ascending alphabetical order by the name of the teacher?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course : course (text) , course_id (number) | course_arrange : course_id (number) , teacher_id (number)", "shrink-score": 0.4}
{"db_id": "course_teach", "question": "Show the name of the teacher for the math course.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course : course (text) , course_id (number) | course_arrange : course_id (number) , teacher_id (number)", "shrink-score": 0.4}
{"db_id": "course_teach", "question": "What are the names of the people who teach math courses?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course : course (text) , course_id (number) | course_arrange : course_id (number) , teacher_id (number)", "shrink-score": 0.4}
{"db_id": "course_teach", "question": "Show names of teachers and the number of courses they teach.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course_arrange : teacher_id (number) , course_id (number)", "shrink-score": 0.6}
{"db_id": "course_teach", "question": "What are the names of the teachers and how many courses do they teach?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course_arrange : teacher_id (number) , course_id (number)", "shrink-score": 0.6}
{"db_id": "course_teach", "question": "Show names of teachers that teach at least two courses.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course_arrange : teacher_id (number) , course_id (number)", "shrink-score": 0.6}
{"db_id": "course_teach", "question": "What are the names of the teachers who teach at least two courses?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course_arrange : teacher_id (number) , course_id (number)", "shrink-score": 0.6}
{"db_id": "course_teach", "question": "List the names of teachers who have not been arranged to teach courses.", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course_arrange : teacher_id (number)", "shrink-score": 0.7}
{"db_id": "course_teach", "question": "What are the names of the teachers whose courses have not been arranged?", "schema": "course : course_id (number) , staring_date (text) , course (text) | teacher : teacher_id (number) , name (text) , age (text) , hometown (text) | course_arrange : course_id (number) , teacher_id (number) , grade (number)", "summarized-schema": "teacher : name (text) , teacher_id (number) | course_arrange : teacher_id (number)", "shrink-score": 0.7}
{"db_id": "museum_visit", "question": "How many visitors below age 30 are there?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : age (number) , id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "museum_visit", "question": "Find the names of the visitors whose membership level is higher than 4, and order the results by the level from high to low.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : name (text) , level_of_membership (number)", "shrink-score": 0.8333333333333334}
{"db_id": "museum_visit", "question": "What is the average age of the visitors whose membership level is not higher than 4?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : age (number) , level_of_membership (number)", "shrink-score": 0.8333333333333334}
{"db_id": "museum_visit", "question": "Find the name and membership level of the visitors whose membership level is higher than 4, and sort by their age from old to young.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : name (text) , level_of_membership (number) , age (number)", "shrink-score": 0.75}
{"db_id": "museum_visit", "question": "Find the id and name of the museum that has the most staff members?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : museum_id (number) , name (text) , num_of_staff (number)", "shrink-score": 0.75}
{"db_id": "museum_visit", "question": "Find the average number of staff working for the museums that were open before 2009.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : num_of_staff (number) , open_year (text)", "shrink-score": 0.8333333333333334}
{"db_id": "museum_visit", "question": "What are the opening year and staff number of the museum named Plaza Museum?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : num_of_staff (number) , open_year (text) , name (text)", "shrink-score": 0.75}
{"db_id": "museum_visit", "question": "find the names of museums which have more staff than the minimum staff number of all museums opened after 2010.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : name (text) , num_of_staff (number) , open_year (text)", "shrink-score": 0.75}
{"db_id": "museum_visit", "question": "find the id, name and age for visitors who visited some museums more than once.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : id (number) , name (text) , age (number) | visit : visitor_id (text) , museum_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "museum_visit", "question": "What are the id, name and membership level of visitors who have spent the largest amount of money in total in all museum tickets?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visit : visitor_id (text) , total_spent (number) | visitor : name (text) , level_of_membership (number) , id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "museum_visit", "question": "What are the id and name of the museum visited most times?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : museum_id (number) , name (text) | visit : museum_id (number)", "shrink-score": 0.75}
{"db_id": "museum_visit", "question": "What is the name of the museum that had no visitor yet?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : name (text) , museum_id (number) | visit : museum_id (number)", "shrink-score": 0.75}
{"db_id": "museum_visit", "question": "Find the name and age of the visitor who bought the most tickets at once.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : name (text) , age (number) , id (number) | visit : visitor_id (text) , num_of_ticket (number)", "shrink-score": 0.5833333333333334}
{"db_id": "museum_visit", "question": "What are the average and maximum number of tickets bought in all visits?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visit : num_of_ticket (number)", "shrink-score": 0.9166666666666666}
{"db_id": "museum_visit", "question": "What is the total ticket expense of the visitors whose membership level is 1?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visit : total_spent (number) , visitor_id (text) | visitor : id (number) , level_of_membership (number)", "shrink-score": 0.6666666666666666}
{"db_id": "museum_visit", "question": "What is the name of the visitor who visited both a museum opened before 2009 and a museum opened after 2011?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : name (text) , museum_id (number) , open_year (text) | visitor : name (text) , id (number) | visit : visitor_id (text) , museum_id (number)", "shrink-score": 0.4166666666666667}
{"db_id": "museum_visit", "question": "Find the number of visitors who did not visit any museum opened after 2010.", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "visitor : id (number) | visit : visitor_id (text) , museum_id (number) | museum : museum_id (number) , open_year (text)", "shrink-score": 0.5833333333333334}
{"db_id": "museum_visit", "question": "How many museums were opened after 2013 or before 2008?", "schema": "museum : museum_id (number) , name (text) , num_of_staff (number) , open_year (text) | visitor : id (number) , name (text) , level_of_membership (number) , age (number) | visit : museum_id (number) , visitor_id (text) , num_of_ticket (number) , total_spent (number)", "summarized-schema": "museum : open_year (text) , museum_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "wta_1", "question": "Find the total number of players.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : player_id (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "How many players are there?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : player_id (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "List the first name and birth date of all players from the country with code USA.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , birth_date (time) , country_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "What are the first names and birth dates of players from the USA?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , birth_date (time) , country_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "Find the average age of losers and winners of all matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : loser_age (number) , winner_age (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "What are the average ages of losers and winners across matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : loser_age (number) , winner_age (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "Find the average rank of winners in all matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_rank (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "What is the average rank for winners in all matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_rank (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "Find the highest rank of losers in all matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : loser_rank (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "What is the best rank of losers across all matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : loser_rank (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "find the number of distinct country codes of all players.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "How many distinct countries do players come from?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "Find the number of distinct name of losers.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : loser_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "How many different loser names are there?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : loser_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "Find the name of tourney that has more than 10 matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : tourney_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "What are the names of tournaments that have more than 10 matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : tourney_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "List the names of all winners who played in both 2013 and 2016.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , year (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "What are the names of players who won in both 2013 and 2016?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , year (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "List the number of all matches who played in years of 2013 or 2016.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : year (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "How many matches were played in 2013 or 2016?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : year (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "What are the country code and first name of the players who won in both tourney WTA Championships and Australian Open?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , first_name (text) , player_id (number) | matches : winner_id (number) , tourney_name (text)", "shrink-score": 0.8837209302325582}
{"db_id": "wta_1", "question": "What are the first names and country codes for players who won both the WTA Championships and the Australian Open?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , first_name (text) , player_id (number) | matches : winner_id (number) , tourney_name (text)", "shrink-score": 0.8837209302325582}
{"db_id": "wta_1", "question": "Find the first name and country code of the oldest player.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , country_code (text) , birth_date (time)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "What is the first name and country code of the oldest player?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , country_code (text) , birth_date (time)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "List the first and last name of all players in the order of birth date.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , last_name (text) , birth_date (time)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "What are the full names of all players, sorted by birth date?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , last_name (text) , birth_date (time)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "List the first and last name of all players who are left / L hand in the order of birth date.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , last_name (text) , hand (text) , birth_date (time)", "shrink-score": 0.9069767441860465}
{"db_id": "wta_1", "question": "What are the full names of all left handed players, in order of birth date?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , last_name (text) , hand (text) , birth_date (time)", "shrink-score": 0.9069767441860465}
{"db_id": "wta_1", "question": "Find the first name and country code of the player who did the most number of tours.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , first_name (text) , player_id (number) | rankings : player_id (number) , tours (number)", "shrink-score": 0.8837209302325582}
{"db_id": "wta_1", "question": "What is the first name and country code of the player with the most tours?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , first_name (text) , player_id (number) | rankings : player_id (number) , tours (number)", "shrink-score": 0.8837209302325582}
{"db_id": "wta_1", "question": "Find the year that has the most number of matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : year (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "Which year had the most matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : year (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "Find the name and rank points of the winner who won the most times.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , winner_rank_points (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "What is the name of the winner who has won the most matches, and how many rank points does this player have?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , winner_rank_points (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "Find the name of the winner who has the highest rank points and participated in the Australian Open tourney.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , tourney_name (text) , winner_rank_points (number)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "What is the name of the winner with the most rank points who participated in the Australian Open tournament?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , tourney_name (text) , winner_rank_points (number)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "find the names of loser and winner who played in the match with greatest number of minutes.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , loser_name (text) , minutes (number)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "What are the names of the winner and loser who played in the longest match?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , loser_name (text) , minutes (number)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "Find the average ranking for each player and their first name.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "rankings : ranking (number) , player_id (number) | players : first_name (text) , player_id (number)", "shrink-score": 0.9069767441860465}
{"db_id": "wta_1", "question": "What are the first names of all players, and their average rankings?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "rankings : ranking (number) , player_id (number) | players : first_name (text) , player_id (number)", "shrink-score": 0.9069767441860465}
{"db_id": "wta_1", "question": "Find the total ranking points for each player and their first name.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "rankings : ranking_points (number) , player_id (number) | players : first_name (text) , player_id (number)", "shrink-score": 0.9069767441860465}
{"db_id": "wta_1", "question": "What are the first names of all players, and their total ranking points?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "rankings : ranking_points (number) , player_id (number) | players : first_name (text) , player_id (number)", "shrink-score": 0.9069767441860465}
{"db_id": "wta_1", "question": "find the number of players for each country.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "How many players are from each country?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "find the code of the country where has the greatest number of players.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "What is the code of the country with the most players?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "Find the codes of countries that have more than 50 players.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "What are the codes of countries with more than 50 players?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : country_code (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "Find the total number of tours for each ranking date.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "rankings : tours (number) , ranking_date (time)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "How many total tours were there for each ranking date?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "rankings : tours (number) , ranking_date (time)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "Find the number of matches happened in each year.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : year (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "How many matches were played in each year?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : year (number)", "shrink-score": 0.9767441860465116}
{"db_id": "wta_1", "question": "Find the name and rank of the 3 youngest winners across all matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , winner_rank (number) , winner_age (number)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "What are the names and ranks of the three youngest winners across all matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , winner_rank (number) , winner_age (number)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "How many different winners both participated in the WTA Championships and were left handed?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , tourney_name (text) , winner_hand (text)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "Find the number of left handed winners who participated in the WTA Championships.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "matches : winner_name (text) , tourney_name (text) , winner_hand (text)", "shrink-score": 0.9302325581395349}
{"db_id": "wta_1", "question": "Find the first name, country code and birth date of the winner who has the highest rank points in all matches.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , country_code (text) , birth_date (time) , player_id (number) | matches : winner_id (number) , winner_rank_points (number)", "shrink-score": 0.8604651162790697}
{"db_id": "wta_1", "question": "What is the first name, country code, and birth date of the player with the most winner rank points across all matches?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : first_name (text) , country_code (text) , birth_date (time) , player_id (number) | matches : winner_id (number) , winner_rank_points (number)", "shrink-score": 0.8604651162790697}
{"db_id": "wta_1", "question": "Find the number of players for each hand type.", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : hand (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "wta_1", "question": "How many players are there for each hand type?", "schema": "players : player_id (number) , first_name (text) , last_name (text) , hand (text) , birth_date (time) , country_code (text) | matches : best_of (number) , draw_size (number) , loser_age (number) , loser_entry (text) , loser_hand (text) , loser_ht (number) , loser_id (number) , loser_ioc (text) , loser_name (text) , loser_rank (number) , loser_rank_points (number) , loser_seed (number) , match_num (number) , minutes (number) , round (text) , score (text) , surface (text) , tourney_date (time) , tourney_id (text) , tourney_level (text) , tourney_name (text) , winner_age (number) , winner_entry (text) , winner_hand (text) , winner_ht (number) , winner_id (number) , winner_ioc (text) , winner_name (text) , winner_rank (number) , winner_rank_points (number) , winner_seed (number) , year (number) | rankings : ranking_date (time) , ranking (number) , player_id (number) , ranking_points (number) , tours (number)", "summarized-schema": "players : hand (text) , player_id (number)", "shrink-score": 0.9534883720930233}
{"db_id": "battle_death", "question": "How many ships ended up being 'Captured'?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "ship : disposition_of_ship (text) , id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "battle_death", "question": "List the name and tonnage ordered by in descending alphaetical order for the names.", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "ship : name (text) , tonnage (text)", "shrink-score": 0.8888888888888888}
{"db_id": "battle_death", "question": "List the name, date and result of each battle.", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : name (text) , date (text)", "shrink-score": 0.8888888888888888}
{"db_id": "battle_death", "question": "What is maximum and minimum death toll caused each time?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "death : killed (number)", "shrink-score": 0.9444444444444444}
{"db_id": "battle_death", "question": "What is the average number of injuries caused each time?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "death : injured (number)", "shrink-score": 0.9444444444444444}
{"db_id": "battle_death", "question": "What are the death and injury situations caused by the ship with tonnage 't'?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "death : killed (number) , injured (number) , caused_by_ship_id (number) , id (number) | ship : id (number) , tonnage (text)", "shrink-score": 0.6666666666666666}
{"db_id": "battle_death", "question": "What are the name and results of the battles when the bulgarian commander is not 'Boril'", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : name (text) , result (text) , bulgarian_commander (text)", "shrink-score": 0.8333333333333334}
{"db_id": "battle_death", "question": "What are the different ids and names of the battles that lost any 'Brig' type shipes?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : id (number) , name (text) | ship : id (number) , name (text) , lost_in_battle (number) , ship_type (text)", "shrink-score": 0.6666666666666666}
{"db_id": "battle_death", "question": "What are the ids and names of the battles that led to more than 10 people killed in total.", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : id (number) , name (text) | ship : id (number) , name (text) , lost_in_battle (number) | death : id (number) , caused_by_ship_id (number) , killed (number)", "shrink-score": 0.5555555555555556}
{"db_id": "battle_death", "question": "What is the ship id and name that caused most total injuries?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "ship : id (number) , name (text) | death : id (number) , caused_by_ship_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "battle_death", "question": "What are the distinct battle names which are between bulgarian commander 'Kaloyan' and latin commander 'Baldwin I'?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : name (text) , bulgarian_commander (text) , latin_commander (text)", "shrink-score": 0.8333333333333334}
{"db_id": "battle_death", "question": "How many different results are there for the battles?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : result (text)", "shrink-score": 0.9444444444444444}
{"db_id": "battle_death", "question": "How many battles did not lose any ship with tonnage '225'?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : id (number) | ship : id (number) , lost_in_battle (number) , tonnage (text)", "shrink-score": 0.7777777777777778}
{"db_id": "battle_death", "question": "List the name and date the battle that has lost the ship named 'Lettice' and the ship named 'HMS Atalanta'", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : name (text) , date (text) , id (number) | ship : name (text) , id (number) , lost_in_battle (number)", "shrink-score": 0.6666666666666666}
{"db_id": "battle_death", "question": "Show names, results and bulgarian commanders of the battles with no ships lost in the 'English Channel'.", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "battle : name (text) , result (text) , bulgarian_commander (text) , id (number) | ship : name (text) , id (number) , lost_in_battle (number) , location (text)", "shrink-score": 0.5555555555555556}
{"db_id": "battle_death", "question": "What are the notes of the death events which has substring 'East'?", "schema": "battle : id (number) , name (text) , date (text) , bulgarian_commander (text) , latin_commander (text) , result (text) | ship : lost_in_battle (number) , id (number) , name (text) , tonnage (text) , ship_type (text) , location (text) , disposition_of_ship (text) | death : caused_by_ship_id (number) , id (number) , note (text) , killed (number) , injured (number)", "summarized-schema": "death : note (text)", "shrink-score": 0.9444444444444444}
{"db_id": "student_transcripts_tracking", "question": "what are all the addresses including line 1 and line 2?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "addresses : line_1 (text) , line_2 (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What is the first and second line for all addresses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "addresses : line_1 (text) , line_2 (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "How many courses in total are listed?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many courses are there?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How is the math course described?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_description (text) , course_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What are the descriptions for all the math courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_description (text) , course_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What is the zip code of the address in the city Port Chelsea?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "addresses : zip_postcode (text) , city (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What is the zip code for Port Chelsea?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "addresses : zip_postcode (text) , city (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "Which department offers the most number of degrees? List department name and id.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "departments : department_name (text) , department_id (number) | degree_programs : department_id (number) , degree_program_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the name and id of the department with the most number of degrees ?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "departments : department_name (text) , department_id (number) | degree_programs : department_id (number) , degree_program_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "How many departments offer any degree?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : department_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many different departments offer degrees?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : department_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many different degree names are offered?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : degree_summary_name (text)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many different degrees are offered?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : degree_summary_name (text)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many degrees does the engineering department offer?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "departments : department_id (number) , department_name (text) | degree_programs : department_id (number) , degree_program_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "How many degrees does the engineering department have?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "departments : department_id (number) , department_name (text) | degree_programs : department_id (number) , degree_program_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What are the names and descriptions of all the sections?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "sections : section_name (text) , section_description (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What are the names and descriptions for all the sections?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "sections : section_name (text) , section_description (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What are the names and id of courses having at most 2 sections?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_name (text) , course_id (number) | sections : course_id (number) , section_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What are the names and ids of every course with less than 2 sections?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_name (text) , course_id (number) | sections : course_id (number) , section_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "List the section_name in reversed lexicographical order.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "sections : section_name (text)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What are the names of the sections in reverse alphabetical order?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "sections : section_name (text)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What is the semester which most student registered in? Show both the name and the id.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "semesters : semester_name (text) , semester_id (number) | student_enrolment : semester_id (number) , student_enrolment_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "For each semester, what is the name and id of the one with the most students registered?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "semesters : semester_name (text) , semester_id (number) | student_enrolment : semester_id (number) , student_enrolment_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the description of the department whose name has the substring the computer?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "departments : department_description (text) , department_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What is the department description for the one whose name has the word computer?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "departments : department_description (text) , department_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "Who are enrolled in 2 degree programs in one semester? List the first name, middle name and last name and the id.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , student_id (number) | student_enrolment : student_id (number) , student_enrolment_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "student_transcripts_tracking", "question": "What are the first, middle, and last names, along with the ids, of all students who enrolled in 2 degree programs in one semester?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , student_id (number) | student_enrolment : student_id (number) , student_enrolment_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "student_transcripts_tracking", "question": "Who is enrolled in a Bachelor degree program? List the first name, middle name, last name.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , student_id (number) | student_enrolment : student_id (number) , degree_program_id (number) | degree_programs : degree_program_id (number) , degree_summary_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "student_transcripts_tracking", "question": "What are the first, middle, and last names for everybody enrolled in a Bachelors program?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , student_id (number) | student_enrolment : student_id (number) , degree_program_id (number) | degree_programs : degree_program_id (number) , degree_summary_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "student_transcripts_tracking", "question": "Find the kind of program which most number of students are enrolled in?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : degree_summary_name (text) , degree_program_id (number) | student_enrolment : degree_program_id (number) , student_enrolment_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the degree summary name that has the most number of students enrolled?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : degree_summary_name (text) , degree_program_id (number) | student_enrolment : degree_program_id (number) , student_enrolment_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "Find the program which most number of students are enrolled in. List both the id and the summary.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : degree_program_id (number) , degree_summary_name (text) | student_enrolment : degree_program_id (number) , student_enrolment_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the program id and the summary of the degree that has the most students enrolled?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "degree_programs : degree_program_id (number) , degree_summary_name (text) | student_enrolment : degree_program_id (number) , student_enrolment_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "Which student has enrolled for the most times in any program? List the id, first name, middle name, last name, the number of enrollments and student id.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : student_id (number) , first_name (text) , middle_name (text) , last_name (text) | student_enrolment : student_id (number) , student_enrolment_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "student_transcripts_tracking", "question": "What is the first, middle, and last name, along with the id and number of enrollments, for the student who enrolled the most in any program?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : student_id (number) , first_name (text) , middle_name (text) , last_name (text) | student_enrolment : student_id (number) , student_enrolment_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "student_transcripts_tracking", "question": "Which semesters do not have any student enrolled? List the semester name.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "semesters : semester_name (text) , semester_id (number) | student_enrolment : semester_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What is the name of the semester with no students enrolled?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "semesters : semester_name (text) , semester_id (number) | student_enrolment : semester_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What are all the course names of the courses which ever have students enrolled in?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_enrolment_courses : course_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What are the names of all courses that have some students enrolled?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_enrolment_courses : course_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What's the name of the course with most number of enrollments?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_enrolment_courses : course_id (number) , student_course_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the name of the course with the most students enrolled?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_enrolment_courses : course_id (number) , student_course_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "Find the last name of the students who currently live in the state of North Carolina but have not registered in any degree program.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : last_name (text) , current_address_id (number) , student_id (number) | addresses : address_id (number) , state_province_county (text) | student_enrolment : student_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "student_transcripts_tracking", "question": "What are the last name of the students who live in North Carolina but have not registered in any degree programs?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : last_name (text) , current_address_id (number) , student_id (number) | addresses : address_id (number) , state_province_county (text) | student_enrolment : student_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "student_transcripts_tracking", "question": "Show the date and id of the transcript with at least 2 course results.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time) , transcript_id (number) | transcript_contents : transcript_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What is the date and id of the transcript with at least 2 courses listed?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time) , transcript_id (number) | transcript_contents : transcript_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What is the phone number of the man with the first name Timmothy and the last name Ward?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : cell_mobile_number (text) , first_name (text) , last_name (text)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What is the mobile phone number of the student named Timmothy Ward ?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : cell_mobile_number (text) , first_name (text) , last_name (text)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "Who is the first student to register? List the first name, middle name and last name.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , date_first_registered (time)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the first, middle, and last name of the first student to register?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , date_first_registered (time)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "Who is the earliest graduate of the school? List the first name, middle name and last name.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , date_left (time)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the first, middle, and last name of the earliest school graduate?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , middle_name (text) , last_name (text) , date_left (time)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "Whose permanent address is different from his or her current address? List his or her first name.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , current_address_id (number) , permanent_address_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What is the first name of the student whose permanent address is different from his or her current one?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , current_address_id (number) , permanent_address_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "Which address holds the most number of students currently? List the address id and all lines.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) | students : current_address_id (number) , student_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "student_transcripts_tracking", "question": "What is the id, line 1, and line 2 of the address with the most students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) | students : current_address_id (number) , student_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "student_transcripts_tracking", "question": "On average, when were the transcripts printed?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What is the average transcript date?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "When is the first transcript released? List the date and details.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time) , other_details (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What is the earliest date of a transcript release, and what details can you tell me?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time) , other_details (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "How many transcripts are released?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many transcripts are listed?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What is the last transcript release date?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "When was the last transcript released?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "How many times at most can a course enrollment result show in different transcripts? Also show the course enrollment id.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcript_contents : student_course_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What is the maximum number of times that a course shows up in different transcripts and what is that course's enrollment id?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcript_contents : student_course_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "Show the date of the transcript which shows the least number of results, also list the id.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time) , transcript_id (number) | transcript_contents : transcript_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "What is the date and id of the transcript with the least number of results?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "transcripts : transcript_date (time) , transcript_id (number) | transcript_contents : transcript_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "student_transcripts_tracking", "question": "Find the semester when both Master students and Bachelor students got enrolled in.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "student_enrolment : semester_id (number) , degree_program_id (number) | degree_programs : degree_program_id (number) , degree_summary_name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "What is the id of the semester that had both Masters and Bachelors students enrolled?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "student_enrolment : semester_id (number) , degree_program_id (number) | degree_programs : degree_program_id (number) , degree_summary_name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "student_transcripts_tracking", "question": "How many different addresses do the students currently live?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : current_address_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What are the different addresses that have students living there?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : current_address_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "List all the student details in reversed lexicographical order.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : other_student_details (text)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "What other details can you tell me about students in reverse alphabetical order?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : other_student_details (text)", "shrink-score": 0.9821428571428571}
{"db_id": "student_transcripts_tracking", "question": "Describe the section h.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "sections : section_description (text) , section_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "What is the description for the section named h?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "sections : section_description (text) , section_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "student_transcripts_tracking", "question": "Find the first name of the students who permanently live in the country Haiti or have the cell phone number 09700166582 .", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , permanent_address_id (number) , cell_mobile_number (text) | addresses : address_id (number) , country (text)", "shrink-score": 0.9107142857142857}
{"db_id": "student_transcripts_tracking", "question": "What are the first names of the students who live in Haiti permanently or have the cell phone number 09700166582 ?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | courses : course_id (number) , course_name (text) , course_description (text) , other_details (text) | departments : department_id (number) , department_name (text) , department_description (text) , other_details (text) | degree_programs : degree_program_id (number) , department_id (number) , degree_summary_name (text) , degree_summary_description (text) , other_details (text) | sections : section_id (number) , course_id (number) , section_name (text) , section_description (text) , other_details (text) | semesters : semester_id (number) , semester_name (text) , semester_description (text) , other_details (text) | students : student_id (number) , current_address_id (number) , permanent_address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , ssn (text) , date_first_registered (time) , date_left (time) , other_student_details (text) | student_enrolment : student_enrolment_id (number) , degree_program_id (number) , semester_id (number) , student_id (number) , other_details (text) | student_enrolment_courses : student_course_id (number) , course_id (number) , student_enrolment_id (number) | transcripts : transcript_id (number) , transcript_date (time) , other_details (text) | transcript_contents : student_course_id (number) , transcript_id (number)", "summarized-schema": "students : first_name (text) , permanent_address_id (number) , cell_mobile_number (text) | addresses : address_id (number) , country (text)", "shrink-score": 0.9107142857142857}
{"db_id": "tvshow", "question": "List the title of all cartoons in alphabetical order.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text)", "shrink-score": 0.96}
{"db_id": "tvshow", "question": "What are the titles of the cartoons sorted alphabetically?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text)", "shrink-score": 0.96}
{"db_id": "tvshow", "question": "List all cartoon directed by \"Ben Jones\".", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , directed_by (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are the names of all cartoons directed by Ben Jones?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , directed_by (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "How many cartoons were written by \"Joseph Kuhr\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : written_by (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the number of cartoones written by Joseph Kuhr?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : written_by (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "list all cartoon titles and their directors ordered by their air date", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , directed_by (text) , original_air_date (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "What is the name and directors of all the cartoons that are ordered by air date?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , directed_by (text) , original_air_date (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "List the title of all cartoon directed by \"Ben Jones\" or \"Brandon Vietti\".", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , directed_by (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are the titles of all cartoons directed by Ben Jones or Brandon Vietti?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , directed_by (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "Which country has the most of TV Channels? List the country and number of TV Channels it has.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : country (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the country with the most number of TV Channels and how many does it have?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : country (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "List the number of different series names and contents in the TV Channel table.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , content (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "How many different series and contents are listed in the TV Channel table?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , content (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the content of TV Channel with serial name \"Sky Radio\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : content (text) , series_name (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the content of the series Sky Radio?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : content (text) , series_name (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the Package Option of TV Channel with serial name \"Sky Radio\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : package_option (text) , series_name (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are the Package Options of the TV Channels whose series names are Sky Radio?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : package_option (text) , series_name (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "How many TV Channel using language English?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : language (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "How many TV Channels use the English language?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : language (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "List the language used least number of TV Channel. List language and number of TV Channel.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : language (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are the languages used by the least number of TV Channels and how many channels use it?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : language (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "List each language and the number of TV Channels using it.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : language (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "For each language, list the number of TV Channels that use it.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : language (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the TV Channel that shows the cartoon \"The Rise of the Blue Beetle!\"? List the TV Channel's series name.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , id (text) | cartoon : id (number) , channel (text) , title (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What is the series name of the TV Channel that shows the cartoon \"The Rise of the Blue Beetle\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , id (text) | cartoon : id (number) , channel (text) , title (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "List the title of all  Cartoons showed on TV Channel with series name \"Sky Radio\".", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , id (number) , channel (text) | tv_channel : id (text) , series_name (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What is the title of all the cartools that are on the TV Channel with the series name \"Sky Radio\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : title (text) , id (number) , channel (text) | tv_channel : id (text) , series_name (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "List the Episode of all TV series sorted by rating.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : episode (text) , rating (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are all of the episodes ordered by ratings?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : episode (text) , rating (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "List top 3 highest Rating  TV series. List the TV series's Episode and Rating.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : episode (text) , rating (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are 3 most highly rated episodes in the TV series table and what were those ratings?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : episode (text) , rating (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is minimum and maximum share of TV series?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : share (number)", "shrink-score": 0.96}
{"db_id": "tvshow", "question": "What is the maximum and minimum share for the TV series?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : share (number)", "shrink-score": 0.96}
{"db_id": "tvshow", "question": "What is the air date of TV series with Episode \"A Love of a Lifetime\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : air_date (text) , episode (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "When did the episode \"A Love of a Lifetime\" air?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : air_date (text) , episode (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is Weekly Rank of TV series with Episode \"A Love of a Lifetime\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : weekly_rank (number) , episode (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the weekly rank for the episode \"A Love of a Lifetime\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : weekly_rank (number) , episode (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What is the TV Channel of TV series with Episode \"A Love of a Lifetime\"? List the TV Channel's series name.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , id (text) | tv_series : id (number) , channel (text) , episode (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What is the name of the series that has the episode \"A Love of a Lifetime\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , id (text) | tv_series : id (number) , channel (text) , episode (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "List the Episode of all  TV series showed on TV Channel with series name \"Sky Radio\".", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : episode (text) , id (number) , channel (text) | tv_channel : id (text) , series_name (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What is the episode for the TV series named \"Sky Radio\"?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_series : episode (text) , id (number) , channel (text) | tv_channel : id (text) , series_name (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "Find the number of cartoons directed by each of the listed directors.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : directed_by (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "How many cartoons did each director create?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : directed_by (text) , id (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "Find the production code and channel of the most recently aired cartoon .", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : production_code (number) , channel (text) , original_air_date (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "What is the produdction code and channel of the most recent cartoon ?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "cartoon : production_code (number) , channel (text) , original_air_date (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "Find the package choice and series name of the TV channel that has high definition TV.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : package_option (text) , series_name (text) , hight_definition_tv (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "What are the package options and the name of the series for the TV Channel that supports high definition TV?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : package_option (text) , series_name (text) , hight_definition_tv (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "which countries' tv channels are playing some cartoon written by Todd Casey?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : country (text) , id (text) | cartoon : id (number) , channel (text) , written_by (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What are the countries that have cartoons on TV that were written by Todd Casey?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : country (text) , id (text) | cartoon : id (number) , channel (text) , written_by (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "which countries' tv channels are not playing any cartoon written by Todd Casey?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : country (text) , id (text) | cartoon : id (number) , channel (text) , written_by (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What are the countries that are not playing cartoons written by Todd Casey?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : country (text) , id (text) | cartoon : id (number) , channel (text) , written_by (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "Find the series name and country of the tv channel that is playing some cartoons directed by Ben Jones and Michael Chang?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , country (text) , id (text) | cartoon : id (number) , channel (text) , directed_by (text)", "shrink-score": 0.76}
{"db_id": "tvshow", "question": "What is the series name and country of all TV channels that are playing cartoons directed by Ben Jones and cartoons directed by Michael Chang?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : series_name (text) , country (text) , id (text) | cartoon : id (number) , channel (text) , directed_by (text)", "shrink-score": 0.76}
{"db_id": "tvshow", "question": "find the pixel aspect ratio and nation of the tv channels that do not use English.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : pixel_aspect_ratio_par (text) , country (text) , language (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "What is the pixel aspect ratio and country of origin for all TV channels that do not use English?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : pixel_aspect_ratio_par (text) , country (text) , language (text)", "shrink-score": 0.88}
{"db_id": "tvshow", "question": "find id of the tv channels that from the countries where have more than two tv channels.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : id (text) , country (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "What are the ids of all tv channels that have more than 2 TV channels?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : id (text) , country (text)", "shrink-score": 0.92}
{"db_id": "tvshow", "question": "find the id of tv channels that do not play any cartoon directed by Ben Jones.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : id (text) | cartoon : id (number) , channel (text) , directed_by (text)", "shrink-score": 0.84}
{"db_id": "tvshow", "question": "What are the ids of the TV channels that do not have any cartoons directed by Ben Jones?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : id (text) | cartoon : id (number) , channel (text) , directed_by (text)", "shrink-score": 0.84}
{"db_id": "tvshow", "question": "find the package option of the tv channel that do not have any cartoon directed by Ben Jones.", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : package_option (text) , id (text) | cartoon : id (number) , channel (text) , directed_by (text)", "shrink-score": 0.8}
{"db_id": "tvshow", "question": "What are the package options of all tv channels that are not playing any cartoons directed by Ben Jones?", "schema": "tv_channel : id (text) , series_name (text) , country (text) , language (text) , content (text) , pixel_aspect_ratio_par (text) , hight_definition_tv (text) , pay_per_view_ppv (text) , package_option (text) | tv_series : id (number) , episode (text) , air_date (text) , rating (text) , share (number) , 18_49_rating_share (text) , viewers_m (text) , weekly_rank (number) , channel (text) | cartoon : id (number) , title (text) , directed_by (text) , written_by (text) , original_air_date (text) , production_code (number) , channel (text)", "summarized-schema": "tv_channel : package_option (text) , id (text) | cartoon : id (number) , channel (text) , directed_by (text)", "shrink-score": 0.8}
{"db_id": "poker_player", "question": "How many poker players are there?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : poker_player_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "Count the number of poker players.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : poker_player_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "List the earnings of poker players in descending order.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : earnings (number)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "What are the earnings of poker players, ordered descending by value?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : earnings (number)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "List the final tables made and the best finishes of poker players.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : final_table_made (number) , best_finish (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What are the final tables made and best finishes for all poker players?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : final_table_made (number) , best_finish (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What is the average earnings of poker players?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : earnings (number)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "Return the average earnings across all poker players.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : earnings (number)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "What is the money rank of the poker player with the highest earnings?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : money_rank (number) , earnings (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "Return the money rank of the player with the greatest earnings.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : money_rank (number) , earnings (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What is the maximum number of final tables made among poker players with earnings less than 200000?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : final_table_made (number) , earnings (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "Return the maximum final tables made across all poker players who have earnings below 200000.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : final_table_made (number) , earnings (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What are the names of poker players?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "poker_player", "question": "Return the names of all the poker players.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "poker_player", "question": "What are the names of poker players whose earnings is higher than 300000?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number) , earnings (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "Give the names of poker players who have earnings above 300000.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number) , earnings (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "List the names of poker players ordered by the final tables made in ascending order.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number) , final_table_made (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "What are the names of poker players, ordered ascending by the number of final tables they have made?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number) , final_table_made (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "What is the birth date of the poker player with the lowest earnings?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : birth_date (text) , people_id (number) | poker_player : people_id (number) , earnings (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "Return the birth date of the poker player with the lowest earnings.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : birth_date (text) , people_id (number) | poker_player : people_id (number) , earnings (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "What is the money rank of the tallest poker player?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : money_rank (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "Return the money rank of the poker player with the greatest height.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : money_rank (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "What is the average earnings of poker players with height higher than 200?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : earnings (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "Give average earnings of poker players who are taller than 200.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "poker_player : earnings (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "What are the names of poker players in descending order of earnings?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number) , earnings (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "Return the names of poker players sorted by their earnings descending.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number) , earnings (number)", "shrink-score": 0.6363636363636364}
{"db_id": "poker_player", "question": "What are different nationalities of people and the corresponding number of people from each nation?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "How many people are there of each nationality?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What is the most common nationality of people?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "Give the nationality that is most common across all people.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What are the nationalities that are shared by at least two people?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "Return the nationalities for which there are two or more people.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "List the names and birth dates of people in ascending alphabetical order of name.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , birth_date (text)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What are the names and birth dates of people, ordered by their names in alphabetical order?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , birth_date (text)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "Show names of people whose nationality is not \"Russia\".", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , nationality (text)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "What are the names of people who are not from Russia?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , nationality (text)", "shrink-score": 0.8181818181818182}
{"db_id": "poker_player", "question": "List the names of people that are not poker players.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "poker_player", "question": "What are the names of people who do not play poker?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : name (text) , people_id (number) | poker_player : people_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "poker_player", "question": "How many distinct nationalities are there?", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text)", "shrink-score": 0.9090909090909091}
{"db_id": "poker_player", "question": "Count the number of different nationalities.", "schema": "poker_player : poker_player_id (number) , people_id (number) , final_table_made (number) , best_finish (number) , money_rank (number) , earnings (number) | people : people_id (number) , nationality (text) , name (text) , birth_date (text) , height (number)", "summarized-schema": "people : nationality (text)", "shrink-score": 0.9090909090909091}
{"db_id": "voter_1", "question": "How many states are there?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "area_code_state : area_code (number)", "shrink-score": 0.8888888888888888}
{"db_id": "voter_1", "question": "List the contestant numbers and names, ordered by contestant name descending.", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "contestants : contestant_number (number) , contestant_name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "voter_1", "question": "List the vote ids, phone numbers and states of all votes.", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "votes : vote_id (number) , phone_number (number) , state (text)", "shrink-score": 0.6666666666666666}
{"db_id": "voter_1", "question": "What are the maximum and minimum values of area codes?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "area_code_state : area_code (number)", "shrink-score": 0.8888888888888888}
{"db_id": "voter_1", "question": "What is last date created of votes from the state 'CA'?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "votes : created (time) , state (text)", "shrink-score": 0.7777777777777778}
{"db_id": "voter_1", "question": "What are the names of the contestants whose names are not 'Jessie Alloway'", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "contestants : contestant_name (text)", "shrink-score": 0.8888888888888888}
{"db_id": "voter_1", "question": "What are the distinct states and create time of all votes?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "votes : state (text) , created (time)", "shrink-score": 0.7777777777777778}
{"db_id": "voter_1", "question": "What are the contestant numbers and names of the contestants who had at least two votes?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "contestants : contestant_number (number) , contestant_name (text) | votes : contestant_number (number) , vote_id (number)", "shrink-score": 0.5555555555555556}
{"db_id": "voter_1", "question": "Of all the contestants who got voted, what is the contestant number and name of the contestant who got least votes?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "contestants : contestant_number (number) , contestant_name (text) | votes : contestant_number (number) , vote_id (number)", "shrink-score": 0.5555555555555556}
{"db_id": "voter_1", "question": "What are the number of votes from state 'NY' or 'CA'?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "votes : state (text) , vote_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "voter_1", "question": "How many contestants did not get voted?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "contestants : contestant_number (number) | votes : contestant_number (number) , vote_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "voter_1", "question": "What is the area code in which the most voters voted?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "area_code_state : area_code (number) , state (text) | votes : state (text) , vote_id (number)", "shrink-score": 0.5555555555555556}
{"db_id": "voter_1", "question": "What are the create dates, states, and phone numbers of the votes that were for the contestant named 'Tabatha Gehling'?", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "votes : created (time) , state (text) , phone_number (number) , contestant_number (number) | contestants : contestant_number (number) , contestant_name (text)", "shrink-score": 0.3333333333333333}
{"db_id": "voter_1", "question": "List the area codes in which voters voted both for the contestant 'Tabatha Gehling' and the contestant 'Kelly Clauss'.", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : contestant_number (number) , state (text)", "shrink-score": 0.3333333333333333}
{"db_id": "voter_1", "question": "Return the names of the contestants whose names contain the substring 'Al' .", "schema": "area_code_state : area_code (number) , state (text) | contestants : contestant_number (number) , contestant_name (text) | votes : vote_id (number) , phone_number (number) , state (text) , contestant_number (number) , created (time)", "summarized-schema": "contestants : contestant_name (text)", "shrink-score": 0.8888888888888888}
{"db_id": "world_1", "question": "What are the names of all the countries that became independent after 1950?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , indepyear (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Give the names of the nations that were founded after 1950.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , indepyear (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "How many countries have a republic as their form of government?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : governmentform (text) , code (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "How many countries have governments that are republics?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : governmentform (text) , code (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the total surface area of the countries in the Caribbean region?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : surfacearea (number) , region (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "How much surface area do the countires in the Carribean cover together?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : surfacearea (number) , region (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Which continent is Anguilla in?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , name (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the continent name which Anguilla belongs to?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , name (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Which region is the city Kabul located in?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : region (text) , code (text) , name (text) | city : countrycode (text) , name (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What region is Kabul in?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : region (text) , code (text) , name (text) | city : countrycode (text) , name (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "Which language is the most popular in Aruba?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , percentage (number) | country : code (text) , name (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What language is predominantly spoken in Aruba?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , percentage (number) | country : code (text) , name (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What are the population and life expectancies in Brazil?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , lifeexpectancy (number) , name (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give me Brazil\u2019s population and life expectancies.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , lifeexpectancy (number) , name (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the region and population of Angola?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , region (text) , name (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What region does Angola belong to and what is its population?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , region (text) , name (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What is the average expected life expectancy for countries in the region of Central Africa?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : lifeexpectancy (number) , region (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "How long is the people\u2019s average life expectancy in Central Africa?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : lifeexpectancy (number) , region (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the name of country that has the shortest life expectancy in Asia?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , lifeexpectancy (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give the name of the country in Asia with the lowest life expectancy.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , lifeexpectancy (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What is the total population and maximum GNP in Asia?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , gnp (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "How many people live in Asia, and what is the largest GNP among them?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , gnp (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What is the average life expectancy in African countries that are republics?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : lifeexpectancy (number) , continent (text) , governmentform (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give the average life expectancy for countries in Africa which are republics?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : lifeexpectancy (number) , continent (text) , governmentform (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What is the total surface area of the continents Asia and Europe?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : surfacearea (number) , continent (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Give the total surface area covered by countries in Asia or Europe.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : surfacearea (number) , continent (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "How many people live in Gelderland district?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : population (number) , district (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the total population of Gelderland district?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : population (number) , district (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the average GNP and total population in all nations whose government is US territory?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : gnp (number) , population (number) , governmentform (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give the mean GNP and total population of nations which are considered US territory.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : gnp (number) , population (number) , governmentform (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "How many unique languages are spoken in the world?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text)", "shrink-score": 0.9615384615384616}
{"db_id": "world_1", "question": "What is the number of distinct languages used around the world?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text)", "shrink-score": 0.9615384615384616}
{"db_id": "world_1", "question": "How many type of governments are in Africa?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : governmentform (text) , continent (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "How many different forms of governments are there in Africa?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : governmentform (text) , continent (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the total number of languages used in Aruba?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : code (text) , name (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "How many languages are spoken in Aruba?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : code (text) , name (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "How many official languages does Afghanistan have?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : code (text) , name (text) | countrylanguage : countrycode (text) , isofficial (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "How many official languages are spoken in Afghanistan?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : code (text) , name (text) | countrylanguage : countrycode (text) , isofficial (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What is name of the country that speaks the largest number of languages?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give the name of the nation that uses the greatest amount of languages.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Which continent has the most diverse languages?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , code (text) | countrylanguage : countrycode (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Which continent speaks the most languages?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , code (text) | countrylanguage : countrycode (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "How many countries speak both English and Dutch?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What is the number of nations that use English and Dutch?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What are the names of nations speak both English and French?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Give the names of nations that speak both English and French.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What are the names of nations where both English and French are official languages?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "Give the names of countries with English and French as official languages.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What is the number of distinct continents where Chinese is spoken?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "How many continents speak Chinese?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What are the regions that use English or Dutch?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : region (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Which regions speak Dutch or English?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : region (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What are the countries where either English or Dutch is the official language ?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , code (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "Which countries have either English or Dutch as an official language?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : code (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Which language is the most popular on the Asian continent?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : code (text) , continent (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What is the language that is used by the largest number of Asian nations?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : code (text) , continent (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Which languages are spoken by only one country in republic governments?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : code (text) , governmentform (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What languages are only used by a single country with a republic government?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : code (text) , governmentform (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Find the city with the largest population that uses English.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , population (number) , countrycode (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What is the most populace city that speaks English?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , population (number) , countrycode (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "Find the name, population and expected life length of asian country with the largest area?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number) , lifeexpectancy (number) , continent (text) , surfacearea (number)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What are the name, population, and life expectancy of the largest Asian country by land?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number) , lifeexpectancy (number) , continent (text) , surfacearea (number)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What is average life expectancy in the countries where English is not the official language?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : lifeexpectancy (number) , name (text) , code (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text)", "shrink-score": 0.7692307692307693}
{"db_id": "world_1", "question": "Give the mean life expectancy of countries in which English is not the official language.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : lifeexpectancy (number) , name (text) , code (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text)", "shrink-score": 0.7692307692307693}
{"db_id": "world_1", "question": "What is the total number of people living in the nations that do not use English?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , name (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "How many people live in countries that do not speak English?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , name (text) , code (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What is the official language spoken in the country whose head of state is Beatrix?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , isofficial (text) | country : code (text) , headofstate (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What is the official language used in the country the name of whose head of state is Beatrix.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , isofficial (text) | country : code (text) , headofstate (text)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What is the total number of unique official languages spoken in the countries that are founded before 1930?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , isofficial (text) | country : code (text) , indepyear (number)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "For the countries founded before 1930, what is the total number of distinct official languages?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , isofficial (text) | country : code (text) , indepyear (number)", "shrink-score": 0.8076923076923077}
{"db_id": "world_1", "question": "What are the countries that have greater surface area than any country in Europe?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , surfacearea (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Which countries have greater area than that of any country in Europe?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , surfacearea (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the African countries that have a  population less than any country in Asia?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , population (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Which African countries have a smaller population than that of any country in Asia?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , population (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Which Asian countries have a population that is larger than any country in Africa?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , population (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the Asian countries which have a population larger than that of any country in Africa?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , population (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the country codes for countries that do not speak English?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Return the country codes for countries that do not speak English.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What are the country codes of countries where people use languages other than English?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Give the country codes for countries in which people speak langauges that are not English.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What are the codes of the countries that do not speak English and whose government forms are not Republic?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : code (text) , governmentform (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Return the codes of countries that do not speak English and do not have Republics for governments.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : code (text) , governmentform (text) | countrylanguage : countrycode (text) , language (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Which cities are in European countries where English is not the official language?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , countrycode (text) | country : name (text) , code (text) , continent (text) | countrylanguage : countrycode (text) , isofficial (text) , language (text)", "shrink-score": 0.6923076923076923}
{"db_id": "world_1", "question": "What are the names of cities in Europe for which English is not the official language?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , countrycode (text) | country : name (text) , code (text) , continent (text) | countrylanguage : countrycode (text) , isofficial (text) , language (text)", "shrink-score": 0.6923076923076923}
{"db_id": "world_1", "question": "Which unique cities are in Asian countries where Chinese is the official language ?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , countrycode (text) | country : name (text) , code (text) , continent (text) | countrylanguage : countrycode (text) , isofficial (text) , language (text)", "shrink-score": 0.6923076923076923}
{"db_id": "world_1", "question": "Return the different names of cities that are in Asia and for which Chinese is the official language.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , countrycode (text) | country : name (text) , code (text) , continent (text) | countrylanguage : countrycode (text) , isofficial (text) , language (text)", "shrink-score": 0.6923076923076923}
{"db_id": "world_1", "question": "What are the name, independence year, and surface area of the country with the smallest population?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , surfacearea (number) , indepyear (number) , population (number)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Give the name, year of independence, and surface area of the country that has the lowest population.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , surfacearea (number) , indepyear (number) , population (number)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What are the population, name and leader of the country with the largest area?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number) , headofstate (text) , surfacearea (number)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Give the name, population, and head of state for the country that has the largest area.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number) , headofstate (text) , surfacearea (number)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Return the country name and the numbers of languages spoken for each country that speaks at least 3 languages.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : name (text) , code (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "What are the names of countries that speak more than 2 languages, as well as how many languages they speak?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) | country : name (text) , code (text)", "shrink-score": 0.8461538461538461}
{"db_id": "world_1", "question": "Find the number of cities in each district whose population is greater than the average population of cities?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : district (text) , population (number) , id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "How many cities in each district have a population that is above the average population across all cities?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : district (text) , population (number) , id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Find the government form name and total population for each government form whose average life expectancy is longer than 72.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , governmentform (text) , lifeexpectancy (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the different government forms and what is the total population of each for government forms that have an average life expectancy greater than 72?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , governmentform (text) , lifeexpectancy (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Find the average life expectancy and total population for each continent where the average life expectancy is shorter than 72?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , lifeexpectancy (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the different continents and the total popuation and average life expectancy corresponding to each, for continents that have an average life expectancy less than 72?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , lifeexpectancy (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the names and areas of countries with the top 5 largest area?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , surfacearea (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Return the names and surface areas of the 5 largest countries.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , surfacearea (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What are names of countries with the top 3 largest population?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Return the names of the 3 most populated countries.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What are the names of the nations with the 3 lowest populations?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Return the names of the 3 countries with the fewest people.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , population (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "how many countries are in Asia?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , code (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Count the number of countries in Asia.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : continent (text) , code (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What are the names of the countries that are in the continent of Europe and have a population of 80000?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , population (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give the names of countries that are in Europe and have a population equal to 80000.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : name (text) , continent (text) , population (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What is the total population and average area of countries in the continent of North America whose area is bigger than 3000 ?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , surfacearea (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Give the total population and average surface area corresponding to countries in North America that have a surface area greater than 3000 .", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "country : population (number) , surfacearea (number) , continent (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the cities whose population is between 160000 and 900000?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , population (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Return the names of cities that have a population between 160000 and 900000 .", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "city : name (text) , population (number)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Which language is spoken by the largest number of countries?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "Give the language that is spoken in the most countries.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text)", "shrink-score": 0.9230769230769231}
{"db_id": "world_1", "question": "What is the language spoken by the largest percentage of people in each country?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , percentage (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the country codes of the different countries, and what are the languages spoken by the greatest percentage of people for each?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : language (text) , countrycode (text) , percentage (number)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What is the total number of countries where Spanish is spoken by the largest percentage of people?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : percentage (number) , language (text) , countrycode (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Count the number of countries for which Spanish is the predominantly spoken language.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : percentage (number) , language (text) , countrycode (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "What are the codes of countries where Spanish is spoken by the largest percentage of people?", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : countrycode (text) , percentage (number) , language (text)", "shrink-score": 0.8846153846153846}
{"db_id": "world_1", "question": "Return the codes of countries for which Spanish is the predominantly spoken language.", "schema": "city : id (number) , name (text) , countrycode (text) , district (text) , population (number) | sqlite_sequence : name (text) , seq (text) | country : code (text) , name (text) , continent (text) , region (text) , surfacearea (number) , indepyear (number) , population (number) , lifeexpectancy (number) , gnp (number) , gnpold (number) , localname (text) , governmentform (text) , headofstate (text) , capital (number) , code2 (text) | countrylanguage : countrycode (text) , language (text) , isofficial (text) , percentage (number)", "summarized-schema": "countrylanguage : countrycode (text) , percentage (number) , language (text)", "shrink-score": 0.8846153846153846}
{"db_id": "orchestra", "question": "How many conductors are there?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : conductor_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "orchestra", "question": "Count the number of conductors.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : conductor_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "orchestra", "question": "List the names of conductors in ascending order of age.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , age (number)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "What are the names of conductors, ordered by age?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , age (number)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "What are the names of conductors whose nationalities are not \"USA\"?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , nationality (text)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "Return the names of conductors that do not have the nationality \"USA\".", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , nationality (text)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "What are the record companies of orchestras in descending order of years in which they were founded?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , year_of_founded (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "Return the record companies of orchestras, sorted descending by the years in which they were founded.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , year_of_founded (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "What is the average attendance of shows?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "show : attendance (number)", "shrink-score": 0.9565217391304348}
{"db_id": "orchestra", "question": "Return the average attendance across all shows.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "show : attendance (number)", "shrink-score": 0.9565217391304348}
{"db_id": "orchestra", "question": "What are the maximum and minimum share of performances whose type is not \"Live final\".", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "performance : share (text) , type (text)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "Return the maximum and minimum shares for performances that do not have the type \"Live final\".", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "performance : share (text) , type (text)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "How many different nationalities do conductors have?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : nationality (text)", "shrink-score": 0.9565217391304348}
{"db_id": "orchestra", "question": "Count the number of different nationalities of conductors.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : nationality (text)", "shrink-score": 0.9565217391304348}
{"db_id": "orchestra", "question": "List names of conductors in descending order of years of work.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , year_of_work (number)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "What are the names of conductors, sorted descending by the number of years they have worked?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , year_of_work (number)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "List the name of the conductor with the most years of work.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , year_of_work (number)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "What is the name of the conductor who has worked the greatest number of years?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , year_of_work (number)", "shrink-score": 0.9130434782608695}
{"db_id": "orchestra", "question": "Show the names of conductors and the orchestras they have conducted.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "orchestra", "question": "What are the names of conductors as well as the corresonding orchestras that they have conducted?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "orchestra", "question": "Show the names of conductors that have conducted more than one orchestras.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number) , orchestra_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "What are the names of conductors who have conducted at more than one orchestra?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number) , orchestra_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "Show the name of the conductor that has conducted the most number of orchestras.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number) , orchestra_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "What is the name of the conductor who has conducted the most orchestras?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number) , orchestra_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "Please show the name of the conductor that has conducted orchestras founded after 2008.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number) , year_of_founded (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "What are the names of conductors who have conducted orchestras founded after the year 2008?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "conductor : name (text) , conductor_id (number) | orchestra : orchestra (text) , conductor_id (number) , year_of_founded (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "Please show the different record companies and the corresponding number of orchestras.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "How many orchestras does each record company manage?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "Please show the record formats of orchestras in ascending order of count.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : major_record_format (text) , orchestra (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "What are the major record formats of orchestras, sorted by their frequency?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : major_record_format (text) , orchestra (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "List the record company shared by the most number of orchestras.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "What is the record company used by the greatest number of orchestras?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "List the names of orchestras that have no performance.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : orchestra (text) , orchestra_id (number) | performance : orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "What are the orchestras that do not have any performances?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : orchestra (text) , orchestra_id (number) | performance : orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "Show the record companies shared by orchestras founded before 2003 and after 2003.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , year_of_founded (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "What are the record companies that are used by both orchestras founded before 2003 and those founded after 2003?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : record_company (text) , orchestra (text) , year_of_founded (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "Find the number of orchestras whose record format is \"CD\" or \"DVD\".", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : orchestra (text) , major_record_format (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "Count the number of orchestras that have CD or DVD as their record format.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : orchestra (text) , major_record_format (text) , orchestra_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "orchestra", "question": "Show the years in which orchestras that have given more than one performance are founded.", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : year_of_founded (number) , orchestra (text) , orchestra_id (number) | performance : orchestra_id (number) , performance_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "orchestra", "question": "What are years of founding for orchestras that have had more than a single performance?", "schema": "conductor : conductor_id (number) , name (text) , age (number) , nationality (text) , year_of_work (number) | orchestra : orchestra_id (number) , orchestra (text) , conductor_id (number) , record_company (text) , year_of_founded (number) , major_record_format (text) | performance : performance_id (number) , orchestra_id (number) , type (text) , date (text) , official_ratings_(millions) (number) , weekly_rank (text) , share (text) | show : show_id (number) , performance_id (number) , if_first_show (others) , result (text) , attendance (number)", "summarized-schema": "orchestra : year_of_founded (number) , orchestra (text) , orchestra_id (number) | performance : orchestra_id (number) , performance_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "network_1", "question": "How many high schoolers are there?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "Count the number of high schoolers.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "Show the names and grades of each high schooler.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "What are the names and grades for each high schooler?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show all the grades of the high schoolers.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "What is the grade of each high schooler?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "What grade is Kyle in?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Return the grade for the high schooler named Kyle.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show the names of all high schoolers in grade 10.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "What are the names of all high schoolers in grade 10?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show the ID of the high schooler named Kyle.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : id (number) , name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "What is Kyle's id?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : id (number) , name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "How many high schoolers are there in grade 9 or 10?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Count the number of high schoolers in grades 9 or 10.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show the number of high schoolers for each grade.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "How many high schoolers are in each grade?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Which grade has the most high schoolers?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Return the grade that has the greatest number of high schoolers.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show me all grades that have at least 4 students.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Which grades have 4 or more high schoolers?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show the student IDs and numbers of friends corresponding to each.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "friend : student_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "How many friends does each student have?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "friend : student_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "Show the names of high school students and their corresponding number of friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What are the names of the high schoolers and how many friends does each have?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What is the name of the high schooler who has the greatest number of friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Return the name of the high school student with the most friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show the names of high schoolers who have at least 3 friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What are the names of high schoolers who have 3 or more friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show the names of all of the high schooler Kyle's friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number) , friend_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "network_1", "question": "Return the names of friends of the high school student Kyle.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number) , friend_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "network_1", "question": "How many friends does the high school student Kyle have?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "friend : student_id (number) | highschooler : id (number) , name (text)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Count the number of friends Kyle has.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "friend : student_id (number) | highschooler : id (number) , name (text)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show ids of all students who do not have any friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : id (number) | friend : student_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "What are the ids of high school students who do not have friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : id (number) | friend : student_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "network_1", "question": "Show names of all high school students who do not have any friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What are the names of students who have no friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show the ids of high schoolers who have friends and are also liked by someone else.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "friend : student_id (number) | likes : student_id (number) , liked_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What are the ids of students who both have friends and are liked?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "friend : student_id (number) | likes : student_id (number) , liked_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show name of all students who have some friends and also are liked by someone else.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number) | likes : student_id (number) , liked_id (number)", "shrink-score": 0.2857142857142857}
{"db_id": "network_1", "question": "What are the names of high schoolers who both have friends and are liked?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | friend : student_id (number) | likes : student_id (number) , liked_id (number)", "shrink-score": 0.2857142857142857}
{"db_id": "network_1", "question": "Count the number of likes for each student id.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "likes : student_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "How many likes correspond to each student id?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "likes : student_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "network_1", "question": "Show the names of high schoolers who have likes, and numbers of likes for each.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | likes : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What are the names of high schoolers who have likes, and how many likes does each have?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | likes : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What is the name of the high schooler who has the greatest number of likes?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | likes : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Give the name of the student with the most likes.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | likes : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show the names of students who have at least 2 likes.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | likes : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What are the names of students who have 2 or more likes?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) | likes : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Show the names of students who have a grade higher than 5 and have at least 2 friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) , grade (number) | friend : student_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "network_1", "question": "What are the names of high schoolers who have a grade of over 5 and have 2 or more friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : name (text) , id (number) , grade (number) | friend : student_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "network_1", "question": "How many likes does Kyle have?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "likes : student_id (number) | highschooler : id (number) , name (text)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Return the number of likes that the high schooler named Kyle has.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "likes : student_id (number) | highschooler : id (number) , name (text)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Find the average grade of all students who have some friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What is the average grade of students who have friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "Find the minimum grade of students who have no friends.", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "network_1", "question": "What is the lowest grade of students who do not have any friends?", "schema": "highschooler : id (number) , name (text) , grade (number) | friend : student_id (number) , friend_id (number) | likes : student_id (number) , liked_id (number)", "summarized-schema": "highschooler : grade (number) , id (number) | friend : student_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "dog_kennels", "question": "Which states have both owners and professionals living there?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : state (text) | professionals : state (text)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "Find the states where both owners and professionals live.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : state (text) | professionals : state (text)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "What is the average age of the dogs who have gone through any treatments?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text) , dog_id (number) | treatments : dog_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Find the average age of the dogs who went through treatments.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text) , dog_id (number) | treatments : dog_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Which professionals live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name and cell phone.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , last_name (text) , cell_number (text) , state (text) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Find the id, last name and cell phone of the professionals who live in the state of Indiana or have performed more than two treatments.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , last_name (text) , cell_number (text) , state (text) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Which dogs have not cost their owner more than 1000 for treatment ? List the dog names .", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : name (text) , dog_id (number) | treatments : dog_id (number) , cost_of_treatment (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What are the names of the dogs for which the owner has not spend more than 1000 for treatment ?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : name (text) , dog_id (number) | treatments : dog_id (number) , cost_of_treatment (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Which first names are used for professionals or owners but are not used as dog names?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) | professionals : first_name (text) | dogs : name (text)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Find the first names that are used for professionals or owners but are not used as dog names.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) | professionals : first_name (text) | dogs : name (text)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Which professional did not operate any treatment on dogs? List the professional's id, role and email.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , role_code (text) , email_address (text) | treatments : professional_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Give me the id, role and email of the professionals who did not perform any treatment on dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , role_code (text) , email_address (text) | treatments : professional_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Which owner owns the most dogs? List the owner id, first name and last name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) , first_name (text) , last_name (text) | dogs : owner_id (number) , dog_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "Return the owner id, first name and last name of the owner who has the most dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) , first_name (text) , last_name (text) | dogs : owner_id (number) , dog_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "Which professionals have done at least two treatments? List the professional's id, role, and first name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , role_code (text) , first_name (text) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "What are the id, role, and first name of the professionals who have performed two or more treatments?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , role_code (text) , first_name (text) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "What is the name of the breed with the most dogs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "breeds : breed_name (text) , breed_code (text) | dogs : breed_code (text) , dog_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Which breed do the most dogs have? Give me the breed name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "breeds : breed_name (text) , breed_code (text) | dogs : breed_code (text) , dog_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Which owner has paid for the most treatments on his or her dogs? List the owner id and last name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) , last_name (text) | dogs : owner_id (number) , dog_id (number) | treatments : dog_id (number) , treatment_id (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Tell me the owner id and last name of the owner who spent the most on treatments of his or her dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) , last_name (text) | dogs : owner_id (number) , dog_id (number) | treatments : dog_id (number) , treatment_id (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "What is the description of the treatment type that costs the least money in total?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatment_types : treatment_type_description (text) , treatment_type_code (text) | treatments : treatment_type_code (text) , cost_of_treatment (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Give me the description of the treatment type whose total cost is the lowest.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatment_types : treatment_type_description (text) , treatment_type_code (text) | treatments : treatment_type_code (text) , cost_of_treatment (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) , zip_code (text) | dogs : owner_id (number) , dog_id (number) | treatments : dog_id (number) , cost_of_treatment (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Find the owner id and zip code of the owner who spent the most money in total for his or her dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) , zip_code (text) | dogs : owner_id (number) , dog_id (number) | treatments : dog_id (number) , cost_of_treatment (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Which professionals have done at least two types of treatments? List the professional id and cell phone.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , cell_number (text) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Find the id and cell phone of the professionals who operate two or more types of treatments.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) , cell_number (text) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What are the first name and last name of the professionals who have done treatment with cost below average?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : first_name (text) , last_name (text) | treatments : cost_of_treatment (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Which professionals have operated a treatment that costs less than the average? Give me theor first names and last names.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : first_name (text) , last_name (text) | treatments : cost_of_treatment (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "List the date of each treatment, together with the first name of the professional who operated it.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : date_of_treatment (time) , professional_id (number) | professionals : first_name (text) , professional_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What are the date and the operating professional's first name of each treatment?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : date_of_treatment (time) , professional_id (number) | professionals : first_name (text) , professional_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "List the cost of each treatment and the corresponding treatment type description.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : cost_of_treatment (number) , treatment_type_code (text) | treatment_types : treatment_type_description (text) , treatment_type_code (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What are the cost and treatment type description of each treatment?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : cost_of_treatment (number) , treatment_type_code (text) | treatment_types : treatment_type_description (text) , treatment_type_code (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "List each owner's first name, last name, and the size of his for her dog.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , last_name (text) , owner_id (number) | dogs : size_code (text) , owner_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "What are each owner's first name, last name, and the size of their dog?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , last_name (text) , owner_id (number) | dogs : size_code (text) , owner_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "List pairs of the owner's first name and the dogs's name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , owner_id (number) | dogs : name (text) , owner_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What are each owner's first name and their dogs's name?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , owner_id (number) | dogs : name (text) , owner_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "List the names of the dogs of the rarest breed and the treatment dates of them.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : name (text) , dog_id (number) , breed_code (text) | treatments : date_of_treatment (time) , dog_id (number) , treatment_id (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Which dogs are of the rarest breed? Show their names and treatment dates.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : name (text) , dog_id (number) , breed_code (text) | treatments : date_of_treatment (time) , dog_id (number) , treatment_id (number)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "Which dogs are owned by someone who lives in Virginia? List the owner's first name and the dog's name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , owner_id (number) , state (text) | dogs : name (text) , owner_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "Find the first names of owners living in Virginia and the names of dogs they own.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , owner_id (number) , state (text) | dogs : name (text) , owner_id (number)", "shrink-score": 0.8979591836734694}
{"db_id": "dog_kennels", "question": "What are the arriving date and the departing date of the dogs who have gone through a treatment?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : date_arrived (time) , date_departed (time) , dog_id (number) | treatments : dog_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Find the arriving date and the departing date of the dogs that received a treatment.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : date_arrived (time) , date_departed (time) , dog_id (number) | treatments : dog_id (number)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "List the last name of the owner owning the youngest dog.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : last_name (text) , owner_id (number) | dogs : owner_id (number) , age (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Who owns the youngest dog? Give me his or her last name.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : last_name (text) , owner_id (number) | dogs : owner_id (number) , age (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "List the emails of the professionals who live in the state of Hawaii or the state of Wisconsin.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : email_address (text) , state (text)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "What are the emails of the professionals living in either the state of Hawaii or the state of Wisconsin?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : email_address (text) , state (text)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "What are the arriving date and the departing date of all the dogs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : date_arrived (time) , date_departed (time)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "List the arrival date and the departure date for all the dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : date_arrived (time) , date_departed (time)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "How many dogs went through any treatments?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : dog_id (number)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "Count the number of dogs that went through a treatment.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : dog_id (number)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "How many professionals have performed any treatment to dogs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : professional_id (number)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "Find the number of professionals who have ever treated dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : professional_id (number)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "Which professionals live in a city containing the substring 'West'? List his or her role, street, city and state.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : role_code (text) , street (text) , city (text) , state (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Find the role, street, city and state of the professionals living in a city that contains the substring 'West'.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : role_code (text) , street (text) , city (text) , state (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Which owners live in the state whose name contains the substring 'North'? List his first name, last name and email.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , last_name (text) , email_address (text) , state (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "Return the first name, last name and email of the owners living in a state whose name contains the substring 'North'.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : first_name (text) , last_name (text) , email_address (text) , state (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "How many dogs have an age below the average?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text) , dog_id (number)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "Count the number of dogs of an age below the average.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text) , dog_id (number)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "How much does the most recent treatment cost?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : cost_of_treatment (number) , date_of_treatment (time)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "Show me the cost of the most recently performed treatment.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "treatments : cost_of_treatment (number) , date_of_treatment (time)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "How many dogs have not gone through any treatment?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : dog_id (number) | treatments : dog_id (number) , treatment_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Tell me the number of dogs that have not received any treatment .", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : dog_id (number) | treatments : dog_id (number) , treatment_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "How many owners temporarily do not have any dogs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) | dogs : owner_id (number) , dog_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Find the number of owners who do not own any dogs at this moment.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "owners : owner_id (number) | dogs : owner_id (number) , dog_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "How many professionals did not operate any treatment on dogs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "Find the number of professionals who have not treated any dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : professional_id (number) | treatments : professional_id (number) , treatment_id (number)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "List the dog name, age and weight of the dogs who have been abandoned? 1 stands for yes, and 0 stands for no.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : name (text) , age (text) , weight (text) , abandoned_yn (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What are the dog name, age and weight of the dogs that were abandoned? Note that 1 stands for yes, and 0 stands for no in the tables.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : name (text) , age (text) , weight (text) , abandoned_yn (text)", "shrink-score": 0.9183673469387755}
{"db_id": "dog_kennels", "question": "What is the average age of all the dogs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "Compute the average age of all the dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "What is the age of the oldest dog?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "Tell me the age of the oldest dog.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : age (text)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "How much does each charge type costs? List both charge type and amount.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "charges : charge_type (text) , charge_amount (number)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "List each charge type and its amount.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "charges : charge_type (text) , charge_amount (number)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "How much does the most expensive charge type costs?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "charges : charge_amount (number)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "What is the charge amount of the most expensive charge type?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "charges : charge_amount (number)", "shrink-score": 0.9795918367346939}
{"db_id": "dog_kennels", "question": "List the email, cell phone and home phone of all the professionals.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : email_address (text) , cell_number (text) , home_phone (text)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "What are the email, cell phone and home phone of each professional?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : email_address (text) , cell_number (text) , home_phone (text)", "shrink-score": 0.9387755102040817}
{"db_id": "dog_kennels", "question": "What are all the possible breed type and size type combinations?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : breed_code (text) , size_code (text)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "Find the distinct breed type and size type combinations for dogs.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "dogs : breed_code (text) , size_code (text)", "shrink-score": 0.9591836734693877}
{"db_id": "dog_kennels", "question": "List the first name of all the professionals along with the description of the treatment they have done.", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : first_name (text) , professional_id (number) | treatment_types : treatment_type_description (text) , treatment_type_code (text) | treatments : professional_id (number) , treatment_type_code (text)", "shrink-score": 0.8775510204081632}
{"db_id": "dog_kennels", "question": "What are each professional's first name and description of the treatment they have performed?", "schema": "breeds : breed_code (text) , breed_name (text) | charges : charge_id (number) , charge_type (text) , charge_amount (number) | sizes : size_code (text) , size_description (text) | treatment_types : treatment_type_code (text) , treatment_type_description (text) | owners : owner_id (number) , first_name (text) , last_name (text) , street (text) , city (text) , state (text) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | dogs : dog_id (number) , owner_id (number) , abandoned_yn (text) , breed_code (text) , size_code (text) , name (text) , age (text) , date_of_birth (time) , gender (text) , weight (text) , date_arrived (time) , date_adopted (time) , date_departed (time) | professionals : professional_id (number) , role_code (text) , first_name (text) , street (text) , city (text) , state (text) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (text) | treatments : treatment_id (number) , dog_id (number) , professional_id (number) , treatment_type_code (text) , date_of_treatment (time) , cost_of_treatment (number)", "summarized-schema": "professionals : first_name (text) , professional_id (number) | treatment_types : treatment_type_description (text) , treatment_type_code (text) | treatments : professional_id (number) , treatment_type_code (text)", "shrink-score": 0.8775510204081632}
{"db_id": "singer", "question": "How many singers are there?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : singer_id (number)", "shrink-score": 0.9}
{"db_id": "singer", "question": "What is the count of singers?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : singer_id (number)", "shrink-score": 0.9}
{"db_id": "singer", "question": "List the name of singers in ascending order of net worth.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , net_worth_millions (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What are the names of singers ordered by ascending net worth?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , net_worth_millions (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What are the birth year and citizenship of singers?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : birth_year (number) , citizenship (text)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What are the birth years and citizenships of the singers?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : birth_year (number) , citizenship (text)", "shrink-score": 0.8}
{"db_id": "singer", "question": "List the name of singers whose citizenship is not \"France\".", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , citizenship (text)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What are the names of the singers who are not French citizens?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , citizenship (text)", "shrink-score": 0.8}
{"db_id": "singer", "question": "Show the name of singers whose birth year is either 1948 or 1949?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , birth_year (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What are the names of the singers whose birth years are either 1948 or 1949?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , birth_year (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What is the name of the singer with the largest net worth?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , net_worth_millions (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What is the name of the singer who is worth the most?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , net_worth_millions (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "Show different citizenship of singers and the number of singers of each citizenship.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , singer_id (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "For each citizenship, how many singers are from that country?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , singer_id (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "Please show the most common citizenship of singers.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , singer_id (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What is the most common singer citizenship ?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , singer_id (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "Show different citizenships and the maximum net worth of singers of each citizenship.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , net_worth_millions (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "For each citizenship, what is the maximum net worth?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , net_worth_millions (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "Show titles of songs and names of singers.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "song : title (text) , singer_id (number) | singer : name (text) , singer_id (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "What are the song titles and singer names?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "song : title (text) , singer_id (number) | singer : name (text) , singer_id (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "Show distinct names of singers that have songs with sales more than 300000.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : singer_id (number) , sales (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "what are the different names of the singers that have sales more than 300000?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : singer_id (number) , sales (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "Show the names of singers that have more than one song.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : singer_id (number) , song_id (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "What are the names of the singers that have more than one songs?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : singer_id (number) , song_id (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "Show the names of singers and the total sales of their songs.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : sales (number) , singer_id (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "For each singer name, what is the total sales for their songs?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : sales (number) , singer_id (number)", "shrink-score": 0.6}
{"db_id": "singer", "question": "List the name of singers that do not have any song.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : singer_id (number)", "shrink-score": 0.7}
{"db_id": "singer", "question": "What is the sname of every sing that does not have any song?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : name (text) , singer_id (number) | song : singer_id (number)", "shrink-score": 0.7}
{"db_id": "singer", "question": "Show the citizenship shared by singers with birth year before 1945 and after 1955.", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , birth_year (number)", "shrink-score": 0.8}
{"db_id": "singer", "question": "What are the citizenships that are shared by singers with a birth year before 1945 and after 1955?", "schema": "singer : singer_id (number) , name (text) , birth_year (number) , net_worth_millions (number) , citizenship (text) | song : song_id (number) , title (text) , singer_id (number) , sales (number) , highest_position (number)", "summarized-schema": "singer : citizenship (text) , birth_year (number)", "shrink-score": 0.8}
{"db_id": "real_estate_properties", "question": "How many available features are there in total?", "schema": "ref_feature_types : feature_type_code (text) , feature_type_name (text) | ref_property_types : property_type_code (text) , property_type_description (text) | other_available_features : feature_id (number) , feature_type_code (text) , feature_name (text) , feature_description (text) | properties : property_id (number) , property_type_code (text) , date_on_market (time) , date_sold (time) , property_name (text) , property_address (text) , room_count (number) , vendor_requested_price (number) , buyer_offered_price (number) , agreed_selling_price (number) , apt_feature_1 (text) , apt_feature_2 (text) , apt_feature_3 (text) , fld_feature_1 (text) , fld_feature_2 (text) , fld_feature_3 (text) , hse_feature_1 (text) , hse_feature_2 (text) , hse_feature_3 (text) , oth_feature_1 (text) , oth_feature_2 (text) , oth_feature_3 (text) , shp_feature_1 (text) , shp_feature_2 (text) , shp_feature_3 (text) , other_property_details (text) | other_property_features : property_id (number) , feature_id (number) , property_feature_description (text)", "summarized-schema": "other_available_features : feature_id (number)", "shrink-score": 0.972972972972973}
{"db_id": "real_estate_properties", "question": "What is the feature type name of feature AirCon?", "schema": "ref_feature_types : feature_type_code (text) , feature_type_name (text) | ref_property_types : property_type_code (text) , property_type_description (text) | other_available_features : feature_id (number) , feature_type_code (text) , feature_name (text) , feature_description (text) | properties : property_id (number) , property_type_code (text) , date_on_market (time) , date_sold (time) , property_name (text) , property_address (text) , room_count (number) , vendor_requested_price (number) , buyer_offered_price (number) , agreed_selling_price (number) , apt_feature_1 (text) , apt_feature_2 (text) , apt_feature_3 (text) , fld_feature_1 (text) , fld_feature_2 (text) , fld_feature_3 (text) , hse_feature_1 (text) , hse_feature_2 (text) , hse_feature_3 (text) , oth_feature_1 (text) , oth_feature_2 (text) , oth_feature_3 (text) , shp_feature_1 (text) , shp_feature_2 (text) , shp_feature_3 (text) , other_property_details (text) | other_property_features : property_id (number) , feature_id (number) , property_feature_description (text)", "summarized-schema": "ref_feature_types : feature_type_name (text) , feature_type_code (text) | other_available_features : feature_type_code (text) , feature_name (text)", "shrink-score": 0.8918918918918919}
{"db_id": "real_estate_properties", "question": "Show the property type descriptions of properties belonging to that code.", "schema": "ref_feature_types : feature_type_code (text) , feature_type_name (text) | ref_property_types : property_type_code (text) , property_type_description (text) | other_available_features : feature_id (number) , feature_type_code (text) , feature_name (text) , feature_description (text) | properties : property_id (number) , property_type_code (text) , date_on_market (time) , date_sold (time) , property_name (text) , property_address (text) , room_count (number) , vendor_requested_price (number) , buyer_offered_price (number) , agreed_selling_price (number) , apt_feature_1 (text) , apt_feature_2 (text) , apt_feature_3 (text) , fld_feature_1 (text) , fld_feature_2 (text) , fld_feature_3 (text) , hse_feature_1 (text) , hse_feature_2 (text) , hse_feature_3 (text) , oth_feature_1 (text) , oth_feature_2 (text) , oth_feature_3 (text) , shp_feature_1 (text) , shp_feature_2 (text) , shp_feature_3 (text) , other_property_details (text) | other_property_features : property_id (number) , feature_id (number) , property_feature_description (text)", "summarized-schema": "ref_property_types : property_type_description (text) , property_type_code (text) | properties : property_type_code (text)", "shrink-score": 0.918918918918919}
{"db_id": "real_estate_properties", "question": "What are the names of properties that are either houses or apartments with more than 1 room?", "schema": "ref_feature_types : feature_type_code (text) , feature_type_name (text) | ref_property_types : property_type_code (text) , property_type_description (text) | other_available_features : feature_id (number) , feature_type_code (text) , feature_name (text) , feature_description (text) | properties : property_id (number) , property_type_code (text) , date_on_market (time) , date_sold (time) , property_name (text) , property_address (text) , room_count (number) , vendor_requested_price (number) , buyer_offered_price (number) , agreed_selling_price (number) , apt_feature_1 (text) , apt_feature_2 (text) , apt_feature_3 (text) , fld_feature_1 (text) , fld_feature_2 (text) , fld_feature_3 (text) , hse_feature_1 (text) , hse_feature_2 (text) , hse_feature_3 (text) , oth_feature_1 (text) , oth_feature_2 (text) , oth_feature_3 (text) , shp_feature_1 (text) , shp_feature_2 (text) , shp_feature_3 (text) , other_property_details (text) | other_property_features : property_id (number) , feature_id (number) , property_feature_description (text)", "summarized-schema": "properties : property_name (text) , property_type_code (text) , room_count (number)", "shrink-score": 0.918918918918919}