1sf/bird-sql-train-with-schema huggingface dataset:
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: Provide the losing team's name in the match ID 336039.
Evidence: losing team's name refers to Team_Id NOT in "match_winner" column
SQL: SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT CASE WHEN Team_1 = Match_Winner THEN Team_2 ELSE Team_1 END FROM Match WHERE match_id = 336039 )
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: What is the venue for the match ID 829768?
Evidence: 
venue refers to Venue_Name
SQL: SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T2.match_id = 829768
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: What is the second team's name in the match with the lowest winning margin?
Evidence: lowest winning margin refers to MIN(win_margin); team name refers to team_name; second team refers to team_2
SQL: SELECT T1.team_name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.team_2 ORDER BY T2.win_margin LIMIT 1
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: Among the matches in 2013, what is the percentage of winning of the team "Mumbai Indians"?
Evidence: in 2013 refers to Match_Date like '2013%'; winning of the team "Mumbai Indians" refers to Match_Winner = 7; percentage refers to DIVIDE(COUNT(Match_Winner = 7), COUNT(Match_Winner))
SQL: SELECT CAST(SUM(CASE WHEN T2.Match_Winner = 7 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Match_Winner) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Match_Date LIKE '2013%'
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: What is the difference between the number of matches where SC Ganguly played as a Captain and those matches where he played other roles?
Evidence: SC Ganguly refers to Player_Name = 'SC Ganguly'; played as a Captain refers to Role_Id = 1; played other roles refers to Role_Id > 1; difference refers to SUBTRACT(COUNT(Role_Id = 1), COUNT(Role_Id > 1))
SQL: SELECT SUM(CASE WHEN T3.Role_Id = 1 THEN 1 ELSE 0 END) - SUM(CASE WHEN T3.Role_Id > 1 THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T2.Player_Name = 'SC Ganguly'
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many players have the bowling skill greater than 2?
Evidence: bowling skill greater than 2 refers to Bowling_skill > 2
SQL: SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many players were born in 1970?
Evidence: born in 1970 refers to DOB like '1970%';
SQL: SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '1970%'
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many players were born in the 80s and have bowling skill of 2?
Evidence: born in the 80s refers to DOB like '198%'; have bowling skill of 2 refers to Bowling_skill = 2;
SQL: SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '198%' AND Bowling_skill = 2
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many matches are there in April, 2008?
Evidence: in April, 2008 refers to Match_date like '2008-04%'
SQL: SELECT COUNT(Match_Id) FROM Match WHERE Match_date LIKE '2008-04%'
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: What is the city name of country ID 3?
SQL: SELECT City_Name FROM City WHERE Country_ID = 3
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many victory matches were there in 2008?
Evidence: in 2008 refers to Match_Date like '2008%'
SQL: SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: Provide the country ID of East London.
Evidence: East London refers to City_Name = 'East London'
SQL: SELECT Country_id FROM City WHERE City_Name = 'East London'
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How old is SC Ganguly in 2008?
Evidence: SC Ganguly refers to Player_Name = 'SC Ganguly'; old refers to SUBTRACT(2008, strftime('%Y',DOB))
SQL: SELECT 2008 - strftime('%Y', DOB) FROM Player WHERE Player_Name = 'SC Ganguly'