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Number_of_accidents_set118_4
|
./tables/csvs/Number_of_accidents_set118_4_DB.csv
| null | null |
_,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Number_of_accidents_set118_4--template 3
|
What is the number of Slight Traffic accidents involving Female casualties in 2021 or involving Male casualties in 2020 or 2021?
|
template 3
|
{}
|
{44} || {58} || {50}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the number of Slight Traffic accidents involving Female casualties in 2021 or involving Male casualties in 2020 or 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the number of Slight Traffic accidents involving Female casualties in 2021 or involving Male casualties in 2020 or 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Number_of_accidents_set118_4
|
./tables/csvs/Number_of_accidents_set118_4_DB.csv
| null | null |
_,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Number_of_accidents_set118_4--template 8
|
What are the maximum and minimum numbers for each Gender and Year, of Fatal or Slight Traffic or Serious or Slight Fire accidents involving Female or Male casualties in 2020 or 2021? Please, report the corresponding Gender and Year.
|
template 8
|
{}
|
{Female | 2020 | 84 | 14} || {Female | 2021 | 75 | 42} || {Male | 2020 | 67 | 16} || {Male | 2021 | 58 | 27}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What are the maximum and minimum numbers for each Gender and Year, of Fatal or Slight Traffic or Serious or Slight Fire accidents involving Female or Male casualties in 2020 or 2021? Please, report the corresponding Gender and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What are the maximum and minimum numbers for each Gender and Year, of Fatal or Slight Traffic or Serious or Slight Fire accidents involving Female or Male casualties in 2020 or 2021? Please, report the corresponding Gender and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Number_of_accidents_set118_4
|
./tables/csvs/Number_of_accidents_set118_4_DB.csv
| null | null |
_,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Number_of_accidents_set118_4--template 15
|
What is the number of accidents involving Male casualties in 2020 of Event and of Severity for which the number of accidents involving Male casualties in 2021 is lower than 47.75? Please, report the corresponding Event, Severity, and number of accidents.
|
template 15
|
{}
|
{Fire | Slight | 16} || {Fire | Serious | 67} || {Traffic | Serious | 79} || {Traffic | Fatal | 19}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the number of accidents involving Male casualties in 2020 of Event and of Severity for which the number of accidents involving Male casualties in 2021 is lower than 47.75? Please, report the corresponding Event, Severity, and number of accidents.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the number of accidents involving Male casualties in 2020 of Event and of Severity for which the number of accidents involving Male casualties in 2021 is lower than 47.75? Please, report the corresponding Event, Severity, and number of accidents.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Number_of_accidents_set118_4
|
./tables/csvs/Number_of_accidents_set118_4_DB.csv
| null | null |
_,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Number_of_accidents_set118_4--template 11
|
What is the total number for each Event, Gender, and Year, of Fire or Traffic accidents involving Female casualties in 2021 or involving Male casualties in 2020 or 2021? Please, report the corresponding Event, Gender, and Year.
|
template 11
|
{}
|
{Fire | Female | 2021 | 165} || {Fire | Male | 2020 | 149} || {Fire | Male | 2021 | 108} || {Traffic | Female | 2021 | 194} || {Traffic | Male | 2020 | 142} || {Traffic | Male | 2021 | 123}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the total number for each Event, Gender, and Year, of Fire or Traffic accidents involving Female casualties in 2021 or involving Male casualties in 2020 or 2021? Please, report the corresponding Event, Gender, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the total number for each Event, Gender, and Year, of Fire or Traffic accidents involving Female casualties in 2021 or involving Male casualties in 2020 or 2021? Please, report the corresponding Event, Gender, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Number_of_accidents_set118_4
|
./tables/csvs/Number_of_accidents_set118_4_DB.csv
| null | null |
_,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Number_of_accidents_set118_4--template 6
|
What is the number of Fatal Fire or Fatal or Serious Traffic accidents involving Female casualties in 2020 or 2021 or involving Male casualties in 2021?
|
template 6
|
{}
|
{73} || {22} || {85} || {24} || {52} || {48} || {84} || {43} || {59}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the number of Fatal Fire or Fatal or Serious Traffic accidents involving Female casualties in 2020 or 2021 or involving Male casualties in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Male,_,Female,_ ,,2020.0,2021.0,2020.0,2021.0 Fire,Slight,16.0,29.0,53.0,42.0 ,Serious,67.0,27.0,17.0,75.0 ,Fatal,66.0,52.0,24.0,48.0 ,Average,49.67,36.0,31.33,55.0 Traffic,Slight,44.0,58.0,14.0,50.0 ,Serious,79.0,22.0,73.0,85.0 ,Fatal,19.0,43.0,84.0,59.0 ,Average,47.33,41.0,57.0,64.67 Average,,48.5,38.5,44.17,59.83 ` \\n\\nQuestion: `What is the number of Fatal Fire or Fatal or Serious Traffic accidents involving Female casualties in 2020 or 2021 or involving Male casualties in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 5
|
What is the average evolution of Light pollution in Maryland or Massachusetts?
|
template 5
|
{}
|
{-3.96}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the average evolution of Light pollution in Maryland or Massachusetts?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the average evolution of Light pollution in Maryland or Massachusetts?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 3
|
What is the evolution of Oxygen-depletion pollution in Baltimore, Maryland in 2018 or 2019 or Cambridge, Massachusetts in 2020?
|
template 3
|
{}
|
{-51.67} || {-45.97} || {70.31}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Oxygen-depletion pollution in Baltimore, Maryland in 2018 or 2019 or Cambridge, Massachusetts in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Oxygen-depletion pollution in Baltimore, Maryland in 2018 or 2019 or Cambridge, Massachusetts in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 1
|
What is the evolution of Surface water pollution in Baltimore, Maryland in 2018?
|
template 1
|
{}
|
{-45.43}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Surface water pollution in Baltimore, Maryland in 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Surface water pollution in Baltimore, Maryland in 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 15
|
What is the evolution of pollution in Boston, Massachusetts in 2018 of Polluted element and of Type of pollution for which the evolution in Baltimore, Maryland in 2019 is lower than 5.61? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.
|
template 15
|
{}
|
{Water | Chemical | 20.23} || {Water | Oxygen-depletion | -12.76} || {Soil | Industrial | 58.6} || {Soil | Inferior Irrigation | -28.83}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of pollution in Boston, Massachusetts in 2018 of Polluted element and of Type of pollution for which the evolution in Baltimore, Maryland in 2019 is lower than 5.61? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of pollution in Boston, Massachusetts in 2018 of Polluted element and of Type of pollution for which the evolution in Baltimore, Maryland in 2019 is lower than 5.61? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 9
|
What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Cambridge, Massachusetts in 2018?
|
template 9
|
{}
|
{-80.62} || {-79.28} || {-31.21}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Cambridge, Massachusetts in 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Cambridge, Massachusetts in 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 12
|
What are the top 2 evolutions of pollution of Air or Soil in Cambridge, Massachusetts in 2019?
|
template 12
|
{}
|
{67.14} || {37.3}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the top 2 evolutions of pollution of Air or Soil in Cambridge, Massachusetts in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the top 2 evolutions of pollution of Air or Soil in Cambridge, Massachusetts in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 14
|
What are the Polluted element and Type of pollution for which the evolution in Baltimore, Maryland in 2019 is lower than 5.61?
|
template 14
|
{}
|
{Water | Chemical} || {Water | Oxygen-depletion} || {Soil | Industrial} || {Soil | Inferior Irrigation}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Baltimore, Maryland in 2019 is lower than 5.61?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Baltimore, Maryland in 2019 is lower than 5.61?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 4
|
What are the total and maximum evolutions of Noise pollution in Baltimore, Maryland in 2019 or 2020 or Boston, Massachusetts in 2019 or 2020 or Cambridge, Massachusetts in 2018, 2019, or 2020 or Columbia, Maryland in 2018 or 2019?
|
template 4
|
{}
|
{321.06 | 99.14}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the total and maximum evolutions of Noise pollution in Baltimore, Maryland in 2019 or 2020 or Boston, Massachusetts in 2019 or 2020 or Cambridge, Massachusetts in 2018, 2019, or 2020 or Columbia, Maryland in 2018 or 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the total and maximum evolutions of Noise pollution in Baltimore, Maryland in 2019 or 2020 or Boston, Massachusetts in 2019 or 2020 or Cambridge, Massachusetts in 2018, 2019, or 2020 or Columbia, Maryland in 2018 or 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 8
|
What are the average and total evolutions for each State, City, and Year, of Groundwater, Light, or Surface water pollution in Boston, Massachusetts in 2018 or Cambridge, Massachusetts in 2020 or Columbia, Maryland in 2018 or 2020? Please, report the corresponding State, City, and Year.
|
template 8
|
{}
|
{Maryland | Columbia | 2018 | 41.46 | 124.38} || {Maryland | Columbia | 2020 | 47.54 | 142.63} || {Massachusetts | Boston | 2018 | -60.62 | -181.86} || {Massachusetts | Cambridge | 2020 | -7.44 | -22.33}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the average and total evolutions for each State, City, and Year, of Groundwater, Light, or Surface water pollution in Boston, Massachusetts in 2018 or Cambridge, Massachusetts in 2020 or Columbia, Maryland in 2018 or 2020? Please, report the corresponding State, City, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the average and total evolutions for each State, City, and Year, of Groundwater, Light, or Surface water pollution in Boston, Massachusetts in 2018 or Cambridge, Massachusetts in 2020 or Columbia, Maryland in 2018 or 2020? Please, report the corresponding State, City, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 7
|
What are the average and total evolutions of Chemical, Inferior Irrigation, Oxygen-depletion, or Surface water pollution in Boston, Massachusetts in 2019?
|
template 7
|
{}
|
{36.74 | 146.94}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the average and total evolutions of Chemical, Inferior Irrigation, Oxygen-depletion, or Surface water pollution in Boston, Massachusetts in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the average and total evolutions of Chemical, Inferior Irrigation, Oxygen-depletion, or Surface water pollution in Boston, Massachusetts in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 11
|
What is the minimum evolution of pollution for each Polluted element, State, City, and Year, of Air, Soil, or Water in Boston, Massachusetts in 2020 or Columbia, Maryland in 2018 or 2020? Please, report the corresponding Polluted element, State, City, and Year.
|
template 11
|
{}
|
{Air | Maryland | Columbia | 2018 | -5.74} || {Air | Maryland | Columbia | 2020 | -3.62} || {Air | Massachusetts | Boston | 2020 | -75.84} || {Soil | Maryland | Columbia | 2018 | -99.74} || {Soil | Maryland | Columbia | 2020 | -26.52} || {Soil | Massachusetts | Boston | 2020 | -68.93} || {Water | Maryland | Columbia | 2018 | -7.53} || {Water | Maryland | Columbia | 2020 | -83.64} || {Water | Massachusetts | Boston | 2020 | -61.05}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, State, City, and Year, of Air, Soil, or Water in Boston, Massachusetts in 2020 or Columbia, Maryland in 2018 or 2020? Please, report the corresponding Polluted element, State, City, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, State, City, and Year, of Air, Soil, or Water in Boston, Massachusetts in 2020 or Columbia, Maryland in 2018 or 2020? Please, report the corresponding Polluted element, State, City, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 10
|
What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Baltimore, Maryland in 2020? Please, report the corresponding Polluted element.
|
template 10
|
{}
|
{Air | -78.59} || {Soil | -4.55} || {Water | -97.1}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Baltimore, Maryland in 2020? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Baltimore, Maryland in 2020? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 6
|
What is the evolution of Groundwater or Oxygen-depletion pollution in Baltimore or Columbia, Maryland in 2018 or Boston, Massachusetts or Columbia, Maryland in 2020?
|
template 6
|
{}
|
{91.17} || {76.34} || {96.38} || {46.04} || {-51.67} || {-7.53} || {-83.64} || {61.21}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Groundwater or Oxygen-depletion pollution in Baltimore or Columbia, Maryland in 2018 or Boston, Massachusetts or Columbia, Maryland in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Groundwater or Oxygen-depletion pollution in Baltimore or Columbia, Maryland in 2018 or Boston, Massachusetts or Columbia, Maryland in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 2
|
What is the evolution of Chemical, Inorganic Fertilizers, Noise, Oxygen-depletion, or Surface water pollution in Boston, Massachusetts in 2020?
|
template 2
|
{}
|
{-61.05} || {61.21} || {49.67} || {-68.93} || {69.24}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Chemical, Inorganic Fertilizers, Noise, Oxygen-depletion, or Surface water pollution in Boston, Massachusetts in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What is the evolution of Chemical, Inorganic Fertilizers, Noise, Oxygen-depletion, or Surface water pollution in Boston, Massachusetts in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set93_1
|
./tables/csvs/Evolution_of_pollution_in_percent_set93_1_DB.csv
| null | null |
_,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set93_1--template 13
|
What are the evolutions ordered by decreasing values of pollution of Soil or Water in Baltimore, Maryland in 2020?
|
template 13
|
{}
|
{48.12} || {40.67} || {29.82} || {-4.55} || {-67.68} || {-70.9} || {-97.1}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the evolutions ordered by decreasing values of pollution of Soil or Water in Baltimore, Maryland in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Maryland,_,_,_,_,_,_,_,_,Massachusetts,_,_,_,_,_,_,_,_,Average ,,Baltimore,,,,Columbia,,,,Average,Boston,,,,Cambridge,,,,Average, ,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,,2018,2019.0,2020.0,Average,2018,2019.0,2020.0,Average,, Air,Light,68.37,72.14,-78.59,20.64,-5.74,-28.91,90.63,18.66,19.65,-81.94,55.79,-75.84,-34.00,-50.90,-1.43,-11.14,-21.16,-27.58,-3.96 ,Noise,-44.86,68.16,22.3,15.20,89.40,-25.97,-3.62,19.94,17.57,75.50,99.14,69.24,81.29,-80.62,67.14,12.27,-0.40,40.45,29.01 Soil,Industrial,8.14,-12.52,48.12,14.58,37.99,-50.31,-26.52,-12.95,0.82,58.60,53.89,-44.53,22.65,82.82,37.3,37.73,52.62,37.63,19.23 ,Inferior Irrigation,96.96,-19.36,-4.55,24.35,-99.74,17.0,29.11,-17.88,3.24,-28.83,57.31,35.81,21.43,53.74,29.5,8.43,30.56,25.99,14.62 ,Inorganic Fertilizers,-97.01,47.9,40.67,-2.81,35.12,39.11,87.82,54.02,25.60,77.29,-15.13,-68.93,-2.26,-79.28,-40.76,68.63,-17.14,-9.70,7.95 Water,Chemical,-39.56,-15.19,29.82,-8.31,33.40,-73.07,-46.19,-28.62,-18.46,20.23,7.74,-61.05,-11.03,-26.41,-76.96,9.41,-31.32,-21.17,-19.82 ,Groundwater,91.17,36.19,-97.1,10.09,76.34,54.66,96.38,75.79,42.94,-73.08,5.7,46.04,-7.11,-31.21,-62.23,-94.92,-62.79,-34.95,4.0 ,Oxygen-depletion,-51.67,-45.97,-70.9,-56.18,-7.53,50.87,-83.64,-13.43,-34.81,-12.76,4.46,61.21,17.64,2.63,-73.06,70.31,-0.04,8.80,-13.0 ,Surface water,-45.43,7.71,-67.68,-35.13,53.78,-11.24,-44.38,-0.61,-17.87,-26.84,77.43,49.67,33.42,70.19,2.8,83.73,52.24,42.83,12.48 ` \\n\\nQuestion: `What are the evolutions ordered by decreasing values of pollution of Soil or Water in Baltimore, Maryland in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 9
|
What is the minimum number of days for each Characteristic, with Humidity, Temperature, or Wind in Tampa, Florida in 2016?
|
template 9
|
{}
|
{18} || {39} || {40}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What is the minimum number of days for each Characteristic, with Humidity, Temperature, or Wind in Tampa, Florida in 2016?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What is the minimum number of days for each Characteristic, with Humidity, Temperature, or Wind in Tampa, Florida in 2016?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 1
|
How many days were there with Low Humidity in Fort Lauderdale, Florida in 2016?
|
template 1
|
{}
|
{44}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with Low Humidity in Fort Lauderdale, Florida in 2016?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with Low Humidity in Fort Lauderdale, Florida in 2016?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 14
|
What are the Characteristic and Intensity for which the number of days in Fort Lauderdale, Florida in 2015 is lower than 47.86?
|
template 14
|
{}
|
{Wind | Breeze}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the Characteristic and Intensity for which the number of days in Fort Lauderdale, Florida in 2015 is lower than 47.86?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the Characteristic and Intensity for which the number of days in Fort Lauderdale, Florida in 2015 is lower than 47.86?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 7
|
What are the minimum and maximum numbers of days with 31-40 Temperature or Breeze Wind in Fort Lauderdale, Florida in 2015?
|
template 7
|
{}
|
{31 | 60}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the minimum and maximum numbers of days with 31-40 Temperature or Breeze Wind in Fort Lauderdale, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the minimum and maximum numbers of days with 31-40 Temperature or Breeze Wind in Fort Lauderdale, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 13
|
What are the numbers of days ordered by ascending values with Temperature or Wind in Tampa, Florida in 2015?
|
template 13
|
{}
|
{42} || {47} || {62} || {68} || {80}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the numbers of days ordered by ascending values with Temperature or Wind in Tampa, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the numbers of days ordered by ascending values with Temperature or Wind in Tampa, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 3
|
How many days were there with Breeze Wind in Chicago, Illinois in 2015 or 2016 or Columbus or Washington, Georgia in 2016 or Fort Lauderdale, Florida in 2015?
|
template 3
|
{}
|
{31} || {30} || {55} || {33} || {13}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with Breeze Wind in Chicago, Illinois in 2015 or 2016 or Columbus or Washington, Georgia in 2016 or Fort Lauderdale, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with Breeze Wind in Chicago, Illinois in 2015 or 2016 or Columbus or Washington, Georgia in 2016 or Fort Lauderdale, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 8
|
What are the total and minimum numbers of days for each Year, State, and City, with Breeze Wind or High Humidity in Chicago, Illinois or Columbus, Georgia or Tampa, Florida in 2016? Please, report the corresponding Year, State, and City.
|
template 8
|
{}
|
{2016 | Florida | Tampa | 58 | 18} || {2016 | Georgia | Columbus | 126 | 30} || {2016 | Illinois | Chicago | 59 | 13}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the total and minimum numbers of days for each Year, State, and City, with Breeze Wind or High Humidity in Chicago, Illinois or Columbus, Georgia or Tampa, Florida in 2016? Please, report the corresponding Year, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the total and minimum numbers of days for each Year, State, and City, with Breeze Wind or High Humidity in Chicago, Illinois or Columbus, Georgia or Tampa, Florida in 2016? Please, report the corresponding Year, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 12
|
What are the smallest 4 numbers of days with Humidity or Temperature in Columbus, Georgia in 2015?
|
template 12
|
{}
|
{4} || {19} || {27} || {50}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the smallest 4 numbers of days with Humidity or Temperature in Columbus, Georgia in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the smallest 4 numbers of days with Humidity or Temperature in Columbus, Georgia in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 4
|
What are the minimum and total numbers of days with Breeze Wind in Chicago or Springfield, Illinois in 2016 or Fort Lauderdale or Tampa, Florida in 2015 or 2016 or Springfield, Illinois in 2015 or Washington, Georgia in 2015?
|
template 4
|
{}
|
{9 | 349}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the minimum and total numbers of days with Breeze Wind in Chicago or Springfield, Illinois in 2016 or Fort Lauderdale or Tampa, Florida in 2015 or 2016 or Springfield, Illinois in 2015 or Washington, Georgia in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What are the minimum and total numbers of days with Breeze Wind in Chicago or Springfield, Illinois in 2016 or Fort Lauderdale or Tampa, Florida in 2015 or 2016 or Springfield, Illinois in 2015 or Washington, Georgia in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 10
|
What is the total number of days for each Characteristic, with Humidity, Temperature, or Wind in Chicago, Illinois in 2016? Please, report the corresponding Characteristic.
|
template 10
|
{}
|
{Humidity | 59} || {Temperature | 93} || {Wind | 78}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What is the total number of days for each Characteristic, with Humidity, Temperature, or Wind in Chicago, Illinois in 2016? Please, report the corresponding Characteristic.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What is the total number of days for each Characteristic, with Humidity, Temperature, or Wind in Chicago, Illinois in 2016? Please, report the corresponding Characteristic.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 6
|
How many days were there with 31-40 Temperature, Breeze or Storm Wind, or Medium Humidity in Fort Lauderdale, Florida in 2016 or with 31-40 Temperature, Breeze or Storm Wind, or Medium Humidity in Tampa, Florida in 2015?
|
template 6
|
{}
|
{11} || {47} || {59} || {68} || {73} || {42} || {76} || {32}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with 31-40 Temperature, Breeze or Storm Wind, or Medium Humidity in Fort Lauderdale, Florida in 2016 or with 31-40 Temperature, Breeze or Storm Wind, or Medium Humidity in Tampa, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with 31-40 Temperature, Breeze or Storm Wind, or Medium Humidity in Fort Lauderdale, Florida in 2016 or with 31-40 Temperature, Breeze or Storm Wind, or Medium Humidity in Tampa, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 2
|
How many days were there with 21-30 or 31-40 Temperature, Breeze Wind, or Low or Medium Humidity in Tampa, Florida in 2015?
|
template 2
|
{}
|
{80} || {47} || {68} || {65} || {32}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with 21-30 or 31-40 Temperature, Breeze Wind, or Low or Medium Humidity in Tampa, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there with 21-30 or 31-40 Temperature, Breeze Wind, or Low or Medium Humidity in Tampa, Florida in 2015?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 11
|
What is the maximum number of days for each Characteristic, Year, State, and City, with Humidity, Temperature, or Wind in Springfield, Illinois or Tampa, Florida in 2015? Please, report the corresponding Characteristic, Year, State, and City.
|
template 11
|
{}
|
{Humidity | 2015 | Florida | Tampa | 65} || {Humidity | 2015 | Illinois | Springfield | 53} || {Temperature | 2015 | Florida | Tampa | 80} || {Temperature | 2015 | Illinois | Springfield | 57} || {Wind | 2015 | Florida | Tampa | 68} || {Wind | 2015 | Illinois | Springfield | 86}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What is the maximum number of days for each Characteristic, Year, State, and City, with Humidity, Temperature, or Wind in Springfield, Illinois or Tampa, Florida in 2015? Please, report the corresponding Characteristic, Year, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `What is the maximum number of days for each Characteristic, Year, State, and City, with Humidity, Temperature, or Wind in Springfield, Illinois or Tampa, Florida in 2015? Please, report the corresponding Characteristic, Year, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Weather_statistics_set110_4
|
./tables/csvs/Weather_statistics_set110_4_DB.csv
| null | null |
_,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": false, "Global Row Aggregation": false, "Local Row-Group Aggregation": false, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Weather_statistics_set110_4--template 15
|
How many days were there in Washington, Georgia in 2015 with Characteristic and with Intensity for which the number of days in Fort Lauderdale, Florida in 2015 is lower than 47.86? Please, report the corresponding Characteristic, Intensity, and number of days.
|
template 15
|
{}
|
{Wind | Breeze | 9}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there in Washington, Georgia in 2015 with Characteristic and with Intensity for which the number of days in Fort Lauderdale, Florida in 2015 is lower than 47.86? Please, report the corresponding Characteristic, Intensity, and number of days.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,2015,_,_,_,_,_,2016,_,_,_,_,_ ,,Florida,,Georgia,,Illinois,,Florida,,Georgia,,Illinois, ,,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield,Fort Lauderdale,Tampa,Columbus,Washington,Chicago,Springfield Humidity,High,92.00,23.00,4.00,91.00,24.00,38.00,48.00,18.00,96.00,6.00,46.00,35.00 ,Low,88.00,65.00,27.00,52.00,83.00,53.00,44.00,34.00,22.00,67.00,1.00,71.00 ,Medium,70.00,32.00,50.00,17.00,64.00,8.00,76.00,94.00,66.00,28.00,12.00,7.00 Temperature,21-30,93.00,80.00,19.00,15.00,78.00,57.00,75.00,39.00,74.00,0.00,90.00,87.00 ,31-40,60.00,47.00,95.00,84.00,89.00,25.00,11.00,49.00,37.00,2.00,3.00,79.00 Wind,Breeze,31.00,68.00,10.00,9.00,33.00,86.00,59.00,40.00,30.00,55.00,13.00,43.00 ,Calm,82.00,62.00,72.00,58.00,56.00,5.00,14.00,77.00,36.00,54.00,20.00,26.00 ,Storm,85.00,42.00,69.00,63.00,51.00,81.00,73.00,41.00,21.00,16.00,45.00,29.00 ` \\n\\nQuestion: `How many days were there in Washington, Georgia in 2015 with Characteristic and with Intensity for which the number of days in Fort Lauderdale, Florida in 2015 is lower than 47.86? Please, report the corresponding Characteristic, Intensity, and number of days.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 2
|
What is the amount of Import of Cheese or Yoghurt in 2018?
|
template 2
|
{}
|
{388} || {929}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Import of Cheese or Yoghurt in 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Import of Cheese or Yoghurt in 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 11
|
What is the maximum amount for each Category, Import-Export, and Year, of Import of Cereals or Dairy in 2017 or of Export of Cereals or Dairy in 2018? Please, report the corresponding Category, Import-Export, and Year.
|
template 11
|
{}
|
{Cereals | Export | 2018 | 855} || {Cereals | Import | 2017 | 759} || {Dairy | Export | 2018 | 385} || {Dairy | Import | 2017 | 649}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the maximum amount for each Category, Import-Export, and Year, of Import of Cereals or Dairy in 2017 or of Export of Cereals or Dairy in 2018? Please, report the corresponding Category, Import-Export, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the maximum amount for each Category, Import-Export, and Year, of Import of Cereals or Dairy in 2017 or of Export of Cereals or Dairy in 2018? Please, report the corresponding Category, Import-Export, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 9
|
What is the minimum amount for each Category, of Export of Cereals or Dairy in 2019?
|
template 9
|
{}
|
{536} || {408}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the minimum amount for each Category, of Export of Cereals or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the minimum amount for each Category, of Export of Cereals or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 4
|
What are the average and maximum amounts of Export or Import of Seeds in 2017, of Export of Seeds in 2018 or 2019, or of Import of Seeds in 2019?
|
template 4
|
{}
|
{579 | 855}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the average and maximum amounts of Export or Import of Seeds in 2017, of Export of Seeds in 2018 or 2019, or of Import of Seeds in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the average and maximum amounts of Export or Import of Seeds in 2017, of Export of Seeds in 2018 or 2019, or of Import of Seeds in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 7
|
What are the total and maximum amounts of Export of Cream, Rice, or Seeds in 2017?
|
template 7
|
{}
|
{1087 | 667}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the total and maximum amounts of Export of Cream, Rice, or Seeds in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the total and maximum amounts of Export of Cream, Rice, or Seeds in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 8
|
What are the minimum and total amounts for each Import-Export and Year, of Import of Cream or Seeds in 2017 or of Export or Import of Cream or Seeds in 2018? Please, report the corresponding Import-Export and Year.
|
template 8
|
{}
|
{Export | 2018 | 332 | 1187} || {Import | 2017 | 145 | 507} || {Import | 2018 | 738 | 1479}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the minimum and total amounts for each Import-Export and Year, of Import of Cream or Seeds in 2017 or of Export or Import of Cream or Seeds in 2018? Please, report the corresponding Import-Export and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the minimum and total amounts for each Import-Export and Year, of Import of Cream or Seeds in 2017 or of Export or Import of Cream or Seeds in 2018? Please, report the corresponding Import-Export and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 15
|
What is the amount of Import in 2017 of Category and of Item for which the amount of Export in 2019 is greater than 482.6? Please, report the corresponding Category, Item, and amount of import-export.
|
template 15
|
{}
|
{Cereals | Rice | 759} || {Cereals | Seeds | 145} || {Dairy | Cheese | 649}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Import in 2017 of Category and of Item for which the amount of Export in 2019 is greater than 482.6? Please, report the corresponding Category, Item, and amount of import-export.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Import in 2017 of Category and of Item for which the amount of Export in 2019 is greater than 482.6? Please, report the corresponding Category, Item, and amount of import-export.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 13
|
What are the amounts ordered by decreasing values of Export of Cereals or Dairy in 2017?
|
template 13
|
{}
|
{668} || {667} || {320} || {238} || {100}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the amounts ordered by decreasing values of Export of Cereals or Dairy in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the amounts ordered by decreasing values of Export of Cereals or Dairy in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 14
|
What are the Category and Item for which the amount of Export in 2019 is greater than 482.6?
|
template 14
|
{}
|
{Cereals | Rice} || {Cereals | Seeds} || {Dairy | Cheese}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the Category and Item for which the amount of Export in 2019 is greater than 482.6?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the Category and Item for which the amount of Export in 2019 is greater than 482.6?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 3
|
What is the amount of Import of Cheese in 2017 or 2018?
|
template 3
|
{}
|
{649} || {388}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Import of Cheese in 2017 or 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Import of Cheese in 2017 or 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 6
|
What is the amount of Export of Cream or Seeds in 2017 or 2018?
|
template 6
|
{}
|
{667} || {855} || {100} || {332}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Export of Cream or Seeds in 2017 or 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Export of Cream or Seeds in 2017 or 2018?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 10
|
What is the average amount for each Category, of Export of Cereals or Dairy in 2018? Please, report the corresponding Category.
|
template 10
|
{}
|
{Cereals | 703} || {Dairy | 335.33}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the average amount for each Category, of Export of Cereals or Dairy in 2018? Please, report the corresponding Category.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the average amount for each Category, of Export of Cereals or Dairy in 2018? Please, report the corresponding Category.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 1
|
What is the amount of Export of Cream in 2017?
|
template 1
|
{}
|
{100}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Export of Cream in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What is the amount of Export of Cream in 2017?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set302_3
|
./tables/csvs/Food_import-export_in_tons_set302_3_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set302_3--template 12
|
What are the top 3 amounts of Import of Cereals or Dairy in 2019?
|
template 12
|
{}
|
{843} || {616} || {460}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the top 3 amounts of Import of Cereals or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2017.0,2018.0,2019.0,2017.0,2018.0,2019.0 Cereals,,452.0,402.0,729.5,493.5,703.0,574.0 ,Rice,759.0,63.0,843.0,320.0,551.0,536.0 ,Seeds,145.0,741.0,616.0,667.0,855.0,612.0 Dairy,,531.67,685.0,253.67,335.33,335.33,449.0 ,Cheese,649.0,388.0,58.0,668.0,385.0,514.0 ,Cream,362.0,738.0,243.0,100.0,332.0,425.0 ,Yoghurt,584.0,929.0,460.0,238.0,289.0,408.0 Average,,499.8,571.8,444.0,398.6,482.4,499.0 ` \\n\\nQuestion: `What are the top 3 amounts of Import of Cereals or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 14
|
What are the Polluted element and Type of pollution for which the evolution in Los-Angeles, California is lower than -13.41?
|
template 14
|
{}
|
{Water | Chemical} || {Water | Groundwater} || {Water | Oxygen-depletion} || {Soil | Inferior Irrigation} || {Soil | Solid Waste} || {Soil | Urban Activities} || {Air | Noise} || {Air | Light}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Los-Angeles, California is lower than -13.41?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Los-Angeles, California is lower than -13.41?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 7
|
What are the minimum and maximum evolutions of Groundwater, Noise, Thermal, or Urban Activities pollution in Tampa, Florida?
|
template 7
|
{}
|
{-68.82 | 33.31}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the minimum and maximum evolutions of Groundwater, Noise, Thermal, or Urban Activities pollution in Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the minimum and maximum evolutions of Groundwater, Noise, Thermal, or Urban Activities pollution in Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 4
|
What are the minimum and total evolutions of Light pollution in Fort Lauderdale or Tampa, Florida?
|
template 4
|
{}
|
{-85.99 | -12.61}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the minimum and total evolutions of Light pollution in Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the minimum and total evolutions of Light pollution in Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 15
|
What is the evolution of pollution in Fort Lauderdale, Florida of Polluted element and of Type of pollution for which the evolution in Los-Angeles, California is lower than -13.41? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.
|
template 15
|
{}
|
{Water | Chemical | 19.13} || {Water | Groundwater | -17.89} || {Water | Oxygen-depletion | 43.74} || {Soil | Inferior Irrigation | -70.48} || {Soil | Solid Waste | 9.21} || {Soil | Urban Activities | 66.89} || {Air | Noise | -96.92} || {Air | Light | -85.99}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of pollution in Fort Lauderdale, Florida of Polluted element and of Type of pollution for which the evolution in Los-Angeles, California is lower than -13.41? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of pollution in Fort Lauderdale, Florida of Polluted element and of Type of pollution for which the evolution in Los-Angeles, California is lower than -13.41? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 9
|
What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Tampa, Florida?
|
template 9
|
{}
|
{-65.15} || {-64.83} || {-68.82}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 5
|
What is the average evolution of Oxygen-depletion pollution in Fort Lauderdale or Tampa, Florida?
|
template 5
|
{}
|
{67.64}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the average evolution of Oxygen-depletion pollution in Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the average evolution of Oxygen-depletion pollution in Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 8
|
What are the minimum and maximum evolutions for each State and City, of Groundwater or Urban Activities pollution in Berkeley or Los-Angeles, California or Tampa, Florida? Please, report the corresponding State and City.
|
template 8
|
{}
|
{California | Berkeley | -20.31 | 53.41} || {California | Los-Angeles | -65.48 | -30.61} || {Florida | Tampa | -68.82 | 9.06}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the minimum and maximum evolutions for each State and City, of Groundwater or Urban Activities pollution in Berkeley or Los-Angeles, California or Tampa, Florida? Please, report the corresponding State and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the minimum and maximum evolutions for each State and City, of Groundwater or Urban Activities pollution in Berkeley or Los-Angeles, California or Tampa, Florida? Please, report the corresponding State and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 11
|
What is the total evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Berkeley, California or Tampa, Florida? Please, report the corresponding Polluted element, State, and City.
|
template 11
|
{}
|
{Air | California | Berkeley | -1.1} || {Air | Florida | Tampa | 41.54} || {Soil | California | Berkeley | 40.05} || {Soil | Florida | Tampa | -92.13} || {Water | California | Berkeley | 70.93} || {Water | Florida | Tampa | 8.83}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Berkeley, California or Tampa, Florida? Please, report the corresponding Polluted element, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Berkeley, California or Tampa, Florida? Please, report the corresponding Polluted element, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 3
|
What is the evolution of Noise pollution in Berkeley or Los-Angeles, California or Fort Lauderdale or Tampa, Florida?
|
template 3
|
{}
|
{-30.07} || {-19.95} || {-96.92} || {33.31}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Noise pollution in Berkeley or Los-Angeles, California or Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Noise pollution in Berkeley or Los-Angeles, California or Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 6
|
What is the evolution of Light, Solid Waste, or Thermal pollution in Berkeley or Los-Angeles, California or Fort Lauderdale or Tampa, Florida?
|
template 6
|
{}
|
{80.84} || {-90.01} || {9.21} || {-64.83} || {-19.2} || {-43.6} || {-85.99} || {73.38} || {48.17} || {1.77} || {-2.41} || {-65.15}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Light, Solid Waste, or Thermal pollution in Berkeley or Los-Angeles, California or Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Light, Solid Waste, or Thermal pollution in Berkeley or Los-Angeles, California or Fort Lauderdale or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 1
|
What is the evolution of Groundwater pollution in Los-Angeles, California?
|
template 1
|
{}
|
{-65.48}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Groundwater pollution in Los-Angeles, California?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Groundwater pollution in Los-Angeles, California?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 2
|
What is the evolution of Groundwater, Inferior Irrigation, Light, Noise, Solid Waste, Thermal, or Urban Activities pollution in Berkeley, California?
|
template 2
|
{}
|
{-20.31} || {-94.2} || {80.84} || {53.41} || {-30.07} || {-19.2} || {48.17}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Groundwater, Inferior Irrigation, Light, Noise, Solid Waste, Thermal, or Urban Activities pollution in Berkeley, California?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the evolution of Groundwater, Inferior Irrigation, Light, Noise, Solid Waste, Thermal, or Urban Activities pollution in Berkeley, California?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 12
|
What are the bottom 5 evolutions of pollution of Air or Soil in Los-Angeles, California?
|
template 12
|
{}
|
{-90.01} || {-71.1} || {-43.6} || {-30.61} || {-19.95}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the bottom 5 evolutions of pollution of Air or Soil in Los-Angeles, California?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the bottom 5 evolutions of pollution of Air or Soil in Los-Angeles, California?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 10
|
What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Berkeley, California? Please, report the corresponding Polluted element.
|
template 10
|
{}
|
{Air | -30.07} || {Soil | -94.2} || {Water | -20.31}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Berkeley, California? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Berkeley, California? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set249_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set249_2_DB.csv
| null | null |
_,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": true, "Global Column Aggregation": true, "Local Column-Group Aggregation": true, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set249_2--template 13
|
What are the evolutions ordered by increasing values of pollution of Soil or Water in Fort Lauderdale, Florida?
|
template 13
|
{}
|
{-70.48} || {-17.89} || {9.21} || {19.13} || {43.74} || {66.89}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the evolutions ordered by increasing values of pollution of Soil or Water in Fort Lauderdale, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,California,_,_,Florida,_,_,Average ,,Berkeley,Los-Angeles,Average,Fort Lauderdale,Tampa,Average, Air,,-0.37,-20.59,-10.48,-61.77,13.85,-23.96,-17.22 ,Light,-19.20,-43.60,-31.40,-85.99,73.38,-6.30,-18.85 ,Noise,-30.07,-19.95,-25.01,-96.92,33.31,-31.80,-28.41 ,Thermal,48.17,1.77,24.97,-2.41,-65.15,-33.78,-4.41 Soil,,13.35,-63.91,-25.28,1.87,-30.71,-14.42,-19.85 ,Inferior Irrigation,-94.20,-71.10,-82.65,-70.48,-36.36,-53.42,-68.03 ,Solid Waste,80.84,-90.01,-4.59,9.21,-64.83,-27.81,-16.2 ,Urban Activities,53.41,-30.61,11.40,66.89,9.06,37.98,24.69 Water,,23.64,-54.17,-15.26,14.99,2.94,8.97,-3.15 ,Chemical,53.76,-19.55,17.10,19.13,-13.90,2.61,9.86 ,Groundwater,-20.31,-65.48,-42.90,-17.89,-68.82,-43.35,-43.12 ,Oxygen-depletion,37.48,-77.47,-20.00,43.74,91.55,67.64,23.82 Average,,12.21,-46.22,-17.01,-14.97,-4.64,-9.80,-13.41 ` \\n\\nQuestion: `What are the evolutions ordered by increasing values of pollution of Soil or Water in Fort Lauderdale, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 1
|
What is the evolution of Thermal pollution in Springfield, Illinois?
|
template 1
|
{}
|
{98.15}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Thermal pollution in Springfield, Illinois?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Thermal pollution in Springfield, Illinois?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 13
|
What are the evolutions ordered by increasing values of pollution of Soil or Water in Fort Lauderdale, Florida?
|
template 13
|
{}
|
{-96.2} || {-89.76} || {-60.09} || {72.57} || {72.58}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the evolutions ordered by increasing values of pollution of Soil or Water in Fort Lauderdale, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the evolutions ordered by increasing values of pollution of Soil or Water in Fort Lauderdale, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 14
|
What are the Polluted element and Type of pollution for which the evolution in Springfield, Illinois is greater than 18.6?
|
template 14
|
{}
|
{Water | Groundwater} || {Soil | Industrial} || {Air | Light} || {Air | Thermal}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Springfield, Illinois is greater than 18.6?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Springfield, Illinois is greater than 18.6?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 8
|
What are the minimum and total evolutions for each State and City, of Industrial, Inferior Irrigation, or Thermal pollution in Albany or Columbus, Georgia or Tampa, Florida? Please, report the corresponding State and City.
|
template 8
|
{}
|
{Florida | Tampa | -3.9 | 169.62} || {Georgia | Albany | -19.05 | 105.25} || {Georgia | Columbus | -92.94 | -176.18}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the minimum and total evolutions for each State and City, of Industrial, Inferior Irrigation, or Thermal pollution in Albany or Columbus, Georgia or Tampa, Florida? Please, report the corresponding State and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the minimum and total evolutions for each State and City, of Industrial, Inferior Irrigation, or Thermal pollution in Albany or Columbus, Georgia or Tampa, Florida? Please, report the corresponding State and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 10
|
What is the total evolution of pollution for each Polluted element, of Air, Soil, or Water in Springfield, Illinois? Please, report the corresponding Polluted element.
|
template 10
|
{}
|
{Air | 172.51} || {Soil | -50.75} || {Water | 52.58}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, of Air, Soil, or Water in Springfield, Illinois? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, of Air, Soil, or Water in Springfield, Illinois? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 9
|
What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Columbus, Georgia?
|
template 9
|
{}
|
{-51.12} || {-92.94} || {-96.72}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Columbus, Georgia?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Columbus, Georgia?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 12
|
What are the bottom 2 evolutions of pollution of Air or Water in Springfield, Illinois?
|
template 12
|
{}
|
{-28.58} || {74.36}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the bottom 2 evolutions of pollution of Air or Water in Springfield, Illinois?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the bottom 2 evolutions of pollution of Air or Water in Springfield, Illinois?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 15
|
What is the evolution of pollution in Albany, Georgia of Polluted element and of Type of pollution for which the evolution in Springfield, Illinois is greater than 18.6? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.
|
template 15
|
{}
|
{Water | Groundwater | 58.76} || {Soil | Industrial | 53.69} || {Air | Light | 19.64} || {Air | Thermal | 70.61}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of pollution in Albany, Georgia of Polluted element and of Type of pollution for which the evolution in Springfield, Illinois is greater than 18.6? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of pollution in Albany, Georgia of Polluted element and of Type of pollution for which the evolution in Springfield, Illinois is greater than 18.6? Please, report the corresponding Polluted element, Type of pollution, and evolution of pollution.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 6
|
What is the evolution of Industrial, Inferior Irrigation, Oxygen-depletion, or Solid Waste pollution in Albany or Columbus, Georgia or Fort Lauderdale or Tampa, Florida or Springfield, Illinois?
|
template 6
|
{}
|
{-89.76} || {94.73} || {-2.96} || {42.97} || {-28.58} || {72.58} || {-3.9} || {53.69} || {-92.94} || {20.65} || {-96.2} || {84.03} || {-19.05} || {-32.12} || {-87.13} || {-60.09} || {-9.45} || {45.08} || {77.62} || {15.73}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Industrial, Inferior Irrigation, Oxygen-depletion, or Solid Waste pollution in Albany or Columbus, Georgia or Fort Lauderdale or Tampa, Florida or Springfield, Illinois?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Industrial, Inferior Irrigation, Oxygen-depletion, or Solid Waste pollution in Albany or Columbus, Georgia or Fort Lauderdale or Tampa, Florida or Springfield, Illinois?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 7
|
What are the average and maximum evolutions of Industrial, Inferior Irrigation, or Thermal pollution in Tampa, Florida?
|
template 7
|
{}
|
{56.54 | 89.49}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the average and maximum evolutions of Industrial, Inferior Irrigation, or Thermal pollution in Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the average and maximum evolutions of Industrial, Inferior Irrigation, or Thermal pollution in Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 3
|
What is the evolution of Light pollution in Chicago, Illinois or Tampa, Florida?
|
template 3
|
{}
|
{-28.17} || {-46.35}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Light pollution in Chicago, Illinois or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Light pollution in Chicago, Illinois or Tampa, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 4
|
What are the maximum and total evolutions of Inferior Irrigation pollution in Chicago, Illinois or Columbus, Georgia?
|
template 4
|
{}
|
{61.52 | 29.4}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the maximum and total evolutions of Inferior Irrigation pollution in Chicago, Illinois or Columbus, Georgia?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What are the maximum and total evolutions of Inferior Irrigation pollution in Chicago, Illinois or Columbus, Georgia?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 11
|
What is the minimum evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Albany, Georgia or Springfield, Illinois? Please, report the corresponding Polluted element, State, and City.
|
template 11
|
{}
|
{Air | Georgia | Albany | 19.64} || {Air | Illinois | Springfield | 74.36} || {Soil | Georgia | Albany | -19.05} || {Soil | Illinois | Springfield | -87.13} || {Water | Georgia | Albany | -2.96} || {Water | Illinois | Springfield | -28.58}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Albany, Georgia or Springfield, Illinois? Please, report the corresponding Polluted element, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Albany, Georgia or Springfield, Illinois? Please, report the corresponding Polluted element, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set11_5
|
./tables/csvs/Evolution_of_pollution_in_percent_set11_5_DB.csv
| null | null |
_,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set11_5--template 2
|
What is the evolution of Groundwater, Industrial, Inferior Irrigation, Light, Oxygen-depletion, Solid Waste, or Thermal pollution in Fort Lauderdale, Florida?
|
template 2
|
{}
|
{72.57} || {-89.76} || {72.58} || {-96.2} || {-60.09} || {62.86} || {14.54}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Groundwater, Industrial, Inferior Irrigation, Light, Oxygen-depletion, Solid Waste, or Thermal pollution in Fort Lauderdale, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Florida,_,Georgia,_,Illinois,_ ,,Fort Lauderdale,Tampa,Albany,Columbus,Chicago,Springfield Air,Light,62.86,-28.17,19.64,48.00,-46.35,74.36 ,Thermal,14.54,89.49,70.61,-51.12,22.50,98.15 ,Average,38.70,30.66,45.12,-1.56,-11.93,86.25 Soil,Industrial,72.58,-3.90,53.69,-92.94,67.96,20.65 ,Inferior Irrigation,-96.20,84.03,-19.05,-32.12,61.52,-87.13 ,Solid Waste,-60.09,-9.45,45.08,77.62,71.36,15.73 ,Average,-27.90,23.56,26.57,-15.81,66.95,-16.92 Water,Groundwater,72.57,86.56,58.76,-96.72,-47.63,81.16 ,Oxygen-depletion,-89.76,94.73,-2.96,42.97,66.31,-28.58 ,Average,-8.60,90.65,27.90,-26.88,9.34,26.29 Average,,-3.36,44.76,32.25,-14.90,27.95,24.91 ` \\n\\nQuestion: `What is the evolution of Groundwater, Industrial, Inferior Irrigation, Light, Oxygen-depletion, Solid Waste, or Thermal pollution in Fort Lauderdale, Florida?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 7
|
What are the minimum and maximum amounts of Export of Cheese, Soda, Tea, or Yoghurt in 2021?
|
template 7
|
{}
|
{21 | 508}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the minimum and maximum amounts of Export of Cheese, Soda, Tea, or Yoghurt in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the minimum and maximum amounts of Export of Cheese, Soda, Tea, or Yoghurt in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 4
|
What are the maximum and total amounts of Export or Import of Cheese in 2020?
|
template 4
|
{}
|
{867 | 1103}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the maximum and total amounts of Export or Import of Cheese in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the maximum and total amounts of Export or Import of Cheese in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 10
|
What is the maximum amount for each Category, of Import of Beverage or Dairy in 2019? Please, report the corresponding Category.
|
template 10
|
{}
|
{Beverage | 701} || {Dairy | 928}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the maximum amount for each Category, of Import of Beverage or Dairy in 2019? Please, report the corresponding Category.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the maximum amount for each Category, of Import of Beverage or Dairy in 2019? Please, report the corresponding Category.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 2
|
What is the amount of Export of Cheese, Coffee, Soda, or Yoghurt in 2021?
|
template 2
|
{}
|
{83} || {508} || {147} || {21}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Export of Cheese, Coffee, Soda, or Yoghurt in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Export of Cheese, Coffee, Soda, or Yoghurt in 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 13
|
What are the amounts ordered by increasing values of Export of Beverage or Dairy in 2019?
|
template 13
|
{}
|
{31} || {274} || {398} || {556} || {847}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the amounts ordered by increasing values of Export of Beverage or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the amounts ordered by increasing values of Export of Beverage or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 11
|
What is the maximum amount for each Category, Import-Export, and Year, of Import of Beverage or Dairy in 2019 or 2020 or of Export of Beverage or Dairy in 2021? Please, report the corresponding Category, Import-Export, and Year.
|
template 11
|
{}
|
{Beverage | Export | 2021 | 223} || {Beverage | Import | 2019 | 701} || {Beverage | Import | 2020 | 895} || {Dairy | Export | 2021 | 508} || {Dairy | Import | 2019 | 928} || {Dairy | Import | 2020 | 236}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the maximum amount for each Category, Import-Export, and Year, of Import of Beverage or Dairy in 2019 or 2020 or of Export of Beverage or Dairy in 2021? Please, report the corresponding Category, Import-Export, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the maximum amount for each Category, Import-Export, and Year, of Import of Beverage or Dairy in 2019 or 2020 or of Export of Beverage or Dairy in 2021? Please, report the corresponding Category, Import-Export, and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 9
|
What is the minimum amount for each Category, of Import of Beverage or Dairy in 2020?
|
template 9
|
{}
|
{182} || {174}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the minimum amount for each Category, of Import of Beverage or Dairy in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the minimum amount for each Category, of Import of Beverage or Dairy in 2020?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 12
|
What are the bottom 3 amounts of Import of Beverage or Dairy in 2019?
|
template 12
|
{}
|
{406} || {433} || {701}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the bottom 3 amounts of Import of Beverage or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the bottom 3 amounts of Import of Beverage or Dairy in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 14
|
What are the Category and Item for which the amount of Export in 2021 is greater than 491.67?
|
template 14
|
{}
|
{Dairy | Yoghurt}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the Category and Item for which the amount of Export in 2021 is greater than 491.67?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the Category and Item for which the amount of Export in 2021 is greater than 491.67?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 15
|
What is the amount of Import in 2021 of Category and of Item for which the amount of Export in 2021 is greater than 491.67? Please, report the corresponding Category, Item, and amount of import-export.
|
template 15
|
{}
|
{Dairy | Yoghurt | 76}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Import in 2021 of Category and of Item for which the amount of Export in 2021 is greater than 491.67? Please, report the corresponding Category, Item, and amount of import-export.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Import in 2021 of Category and of Item for which the amount of Export in 2021 is greater than 491.67? Please, report the corresponding Category, Item, and amount of import-export.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 6
|
What is the amount of Import of Cheese or Coffee in 2019, 2020, or 2021?
|
template 6
|
{}
|
{825} || {236} || {620} || {701} || {629} || {222}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Import of Cheese or Coffee in 2019, 2020, or 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Import of Cheese or Coffee in 2019, 2020, or 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 3
|
What is the amount of Import of Yoghurt in 2019 or 2021 or of Export of Yoghurt in 2020 or 2021?
|
template 3
|
{}
|
{928} || {972} || {76} || {508}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Import of Yoghurt in 2019 or 2021 or of Export of Yoghurt in 2020 or 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Import of Yoghurt in 2019 or 2021 or of Export of Yoghurt in 2020 or 2021?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 1
|
What is the amount of Export of Cheese in 2019?
|
template 1
|
{}
|
{556}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Export of Cheese in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What is the amount of Export of Cheese in 2019?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Food_import-export_in_tons_set269_1
|
./tables/csvs/Food_import-export_in_tons_set269_1_DB.csv
| null | null |
_,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Food_import-export_in_tons_set269_1--template 8
|
What are the maximum and total amounts for each Import-Export and Year, of Export of Cheese, Soda, or Tea in 2019, 2020, or 2021 or of Import of Cheese, Soda, or Tea in 2021? Please, report the corresponding Import-Export and Year.
|
template 8
|
{}
|
{Export | 2019 | 847 | 1801} || {Export | 2020 | 984 | 1920} || {Export | 2021 | 223 | 327} || {Import | 2021 | 974 | 2420}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the maximum and total amounts for each Import-Export and Year, of Export of Cheese, Soda, or Tea in 2019, 2020, or 2021 or of Import of Cheese, Soda, or Tea in 2021? Please, report the corresponding Import-Export and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Import,_,_,Export,_,_ ,,2019.0,2020.0,2021.0,2019.0,2020.0,2021.0 Beverage,,513.33,568.67,674.0,425.33,565.33,130.33 ,Coffee,701.0,629.0,222.0,31.0,643.0,147.0 ,Soda,406.0,895.0,974.0,398.0,984.0,21.0 ,Tea,433.0,182.0,826.0,847.0,69.0,223.0 Dairy,,876.5,205.0,348.0,415.0,919.5,295.5 ,Cheese,825.0,236.0,620.0,556.0,867.0,83.0 ,Yoghurt,928.0,174.0,76.0,274.0,972.0,508.0 Average,,658.6,423.2,543.6,421.2,707.0,196.4 ` \\n\\nQuestion: `What are the maximum and total amounts for each Import-Export and Year, of Export of Cheese, Soda, or Tea in 2019, 2020, or 2021 or of Import of Cheese, Soda, or Tea in 2021? Please, report the corresponding Import-Export and Year.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 10
|
What is the total evolution of pollution for each Polluted element, of Air, Soil, or Water in Flint, Michigan? Please, report the corresponding Polluted element.
|
template 10
|
{}
|
{Air | -51.78} || {Soil | 57.07} || {Water | -77.74}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, of Air, Soil, or Water in Flint, Michigan? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, of Air, Soil, or Water in Flint, Michigan? Please, report the corresponding Polluted element.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 1
|
What is the evolution of Solid Waste pollution in Reno, Nevada?
|
template 1
|
{}
|
{35.87}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the evolution of Solid Waste pollution in Reno, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the evolution of Solid Waste pollution in Reno, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 9
|
What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Las Vegas, Nevada?
|
template 9
|
{}
|
{-88.01} || {-58.65} || {69.23}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Las Vegas, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the minimum evolution of pollution for each Polluted element, of Air, Soil, or Water in Las Vegas, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 4
|
What are the average and maximum evolutions of Inferior Irrigation pollution in Flint or Port Huron, Michigan or Hastings, Minnesota or Las Vegas or Reno, Nevada?
|
template 4
|
{}
|
{2.54 | 91.05}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What are the average and maximum evolutions of Inferior Irrigation pollution in Flint or Port Huron, Michigan or Hastings, Minnesota or Las Vegas or Reno, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What are the average and maximum evolutions of Inferior Irrigation pollution in Flint or Port Huron, Michigan or Hastings, Minnesota or Las Vegas or Reno, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 11
|
What is the total evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Flint, Michigan or Hastings or Minneapolis, Minnesota? Please, report the corresponding Polluted element, State, and City.
|
template 11
|
{}
|
{Air | Michigan | Flint | -51.78} || {Air | Minnesota | Hastings | -49.91} || {Air | Minnesota | Minneapolis | 99.31} || {Soil | Michigan | Flint | 57.07} || {Soil | Minnesota | Hastings | 180.77} || {Soil | Minnesota | Minneapolis | -154.27} || {Water | Michigan | Flint | -77.74} || {Water | Minnesota | Hastings | -8.79} || {Water | Minnesota | Minneapolis | -172.24}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Flint, Michigan or Hastings or Minneapolis, Minnesota? Please, report the corresponding Polluted element, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the total evolution of pollution for each Polluted element, State, and City, of Air, Soil, or Water in Flint, Michigan or Hastings or Minneapolis, Minnesota? Please, report the corresponding Polluted element, State, and City.`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 14
|
What are the Polluted element and Type of pollution for which the evolution in Las Vegas, Nevada is greater than -1.32?
|
template 14
|
{}
|
{Water | Groundwater} || {Water | Oxygen-depletion} || {Water | Surface water} || {Air | Noise} || {Air | Thermal}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Las Vegas, Nevada is greater than -1.32?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What are the Polluted element and Type of pollution for which the evolution in Las Vegas, Nevada is greater than -1.32?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 2
|
What is the evolution of Groundwater, Light, Noise, Solid Waste, or Surface water pollution in Flint, Michigan?
|
template 2
|
{}
|
{-87.91} || {75.68} || {58.98} || {-40.93} || {48.75}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the evolution of Groundwater, Light, Noise, Solid Waste, or Surface water pollution in Flint, Michigan?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the evolution of Groundwater, Light, Noise, Solid Waste, or Surface water pollution in Flint, Michigan?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
|
Evolution_of_pollution_in_percent_set196_2--template 6
|
What is the evolution of Light, Oxygen-depletion, or Thermal pollution in Flint or Port Huron, Michigan or Las Vegas or Reno, Nevada or Minneapolis, Minnesota?
|
template 6
|
{}
|
{-65.51} || {-86.38} || {-55.51} || {69.23} || {56.74} || {48.75} || {-97.72} || {5.21} || {-88.01} || {-76.66} || {-59.6} || {31.92} || {9.01} || {59.46} || {60.51}
|
[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the evolution of Light, Oxygen-depletion, or Thermal pollution in Flint or Port Huron, Michigan or Las Vegas or Reno, Nevada or Minneapolis, Minnesota?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What is the evolution of Light, Oxygen-depletion, or Thermal pollution in Flint or Port Huron, Michigan or Las Vegas or Reno, Nevada or Minneapolis, Minnesota?`\\n\\n # OUTPUT: \\nAnswer:"}]
|
syntheticHCTs
|
Evolution_of_pollution_in_percent_set196_2
|
./tables/csvs/Evolution_of_pollution_in_percent_set196_2_DB.csv
| null | null |
_,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41
|
{"Standard Relational Table": false, "Multi Level Column": true, "Balanced Multi Level Column": true, "Symmetric Multi Level Column": true, "Unbalanced Multi Level Column": false, "Asymmetric Multi Level Column": false, "Column Aggregation": false, "Global Column Aggregation": false, "Local Column-Group Aggregation": false, "Explicit Column Aggregation Terms": true, "Implicit Column Aggregation Terms": false, "Row Nesting": true, "Balanced Row Nesting": true, "Symmetric Row Nesting": true, "Unbalanced Row Nesting": false, "Asymmetric Row Nesting": false, "Row Aggregation": true, "Global Row Aggregation": true, "Local Row-Group Aggregation": true, "Explicit Row Aggregation Terms": true, "Implicit Row Aggregation Terms": false, "Split Header Cell": false, "Row Group Label": false}
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Evolution_of_pollution_in_percent_set196_2--template 13
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What are the evolutions ordered by decreasing values of pollution of Air or Soil in Reno, Nevada?
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template 13
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{}
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{60.51} || {35.87} || {23.14} || {-17.81} || {-76.66}
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[{"role": "system", "content": "You are a table question answering assistant. You are given a table and a question. Your task is to answer the question based on the information in the table. The table structure may be complex and not a standard relational table so try to understand the structure of the table when answering the question. If the question cannot be answered using information from the table, return 'No Answer'. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself. If there are multiple values, separate each value with the ' || ' token."}, {"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What are the evolutions ordered by decreasing values of pollution of Air or Soil in Reno, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
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[{"role": "user", "content": "Answer the question given the input table. Do not provide any explanations, equations, code, or text explaining intermediate steps in figuring out the answer. Return only the final answer itself.\\n # INPUTS: \\nTable: \\n _,_,Michigan,_,Minnesota,_,Nevada,_ ,,Flint,Port Huron,Hastings,Minneapolis,Las Vegas,Reno Air,,-17.26,-40.56,-16.64,33.10,20.82,-11.32 ,Light,48.75,-97.72,93.82,5.21,-88.01,-76.66 ,Noise,-40.93,-55.88,-67.15,85.09,91.02,-17.81 ,Thermal,-59.60,31.92,-76.58,9.01,59.46,60.51 Soil,,28.54,-8.09,90.38,-77.14,-34.93,29.50 ,Inferior Irrigation,-1.91,-88.37,91.05,-99.09,-11.21,23.14 ,Solid Waste,58.98,72.18,89.72,-55.18,-58.65,35.87 Water,,-25.91,-8.27,-2.93,-57.41,80.32,6.08 ,Groundwater,-87.91,63.39,18.64,-46.37,75.22,-36.75 ,Oxygen-depletion,-65.51,-86.38,-95.89,-55.51,69.23,56.74 ,Surface water,75.68,-1.81,68.46,-70.36,96.52,-1.76 Average,,-9.06,-20.33,15.26,-28.40,29.20,5.41 ` \\n\\nQuestion: `What are the evolutions ordered by decreasing values of pollution of Air or Soil in Reno, Nevada?`\\n\\n # OUTPUT: \\nAnswer:"}]
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syntheticHCTs
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