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[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many players have the bowling skill greater than 2? [/INST] | SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many players were born in 1970? [/INST] | SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '1970%'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many players were born in the 80s and have bowling skill of 2? [/INST] | SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '198%' AND Bowling_skill = 2; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many matches are there in April, 2008? [/INST] | SELECT COUNT(Match_Id) FROM Match WHERE Match_date LIKE '2008-04%'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the city name of country ID 3? [/INST] | SELECT City_Name FROM City WHERE Country_ID = 3; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many victory matches were there in 2008? [/INST] | SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide the country ID of East London. [/INST] | SELECT Country_id FROM City WHERE City_Name = 'East London'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How old is SC Ganguly in 2008? [/INST] | SELECT 2008 - strftime('%Y', DOB) FROM Player WHERE Player_Name = 'SC Ganguly'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: List the names of players who play by the left hand. [/INST] | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_hand = 'Left-hand bat'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many players are Indians? [/INST] | SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'India'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: List the name of England players. [/INST] | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'England'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the venue name of Bandladore? [/INST] | SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_ID = T2.City_ID WHERE T2.City_Name = 'Bangalore'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What are the names of players who participated in season year 2008? [/INST] | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008 GROUP BY T1.Player_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What are the names of players that have run scored less than 3? [/INST] | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the role of SC Ganguly? [/INST] | SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: List the names of players who played as a keeper. [/INST] | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Keeper' GROUP BY T1.Player_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What are the names of players in team 1? [/INST] | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id WHERE T3.Team_Id = 1 GROUP BY T1.Player_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many players played as a captain in season year 2008? [/INST] | SELECT COUNT(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Captain' AND T2.Match_Date LIKE '2008%'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Which teams did SC Ganguly join in season year 2008? [/INST] | SELECT T5.Team_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id WHERE T4.Season_Year = 2008 AND T1.Player_Name = 'SC Ganguly' GROUP BY T5.Team_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What type did match ID 336000 win? [/INST] | SELECT T2.Win_Type FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T1.Match_Id = 336000; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Where did SB Joshi come from? [/INST] | SELECT T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T1.Player_Name = 'SB Joshi'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many players have left arm fast in bowling skill? [/INST] | SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_skill = 'Left-arm fast'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the outcome type of match ID 392195? [/INST] | SELECT T2.Outcome_Type FROM Match AS T1 INNER JOIN Outcome AS T2 ON T1.Outcome_type = T2.Outcome_Id WHERE T1.Match_Id = '392195'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Who is the youngest player and which city did he/she come from? [/INST] | SELECT T3.City_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id INNER JOIN City AS T3 ON T2.Country_Id = T3.Country_Id ORDER BY T1.DOB LIMIT 1; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many matches did team Kings XI Punjab win in season year 2008? [/INST] | SELECT COUNT(DISTINCT T2.Match_Id) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T1.Team_Name = 'Kings XI Punjab' AND T4.Season_Year = 2008; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many seasons did Pune Warriors participate in? [/INST] | SELECT COUNT(T.Season_Year) FROM ( SELECT T4.Season_Year FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T1.Team_Name = 'Pune Warriors' GROUP BY T4.Season_Year ) T; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What year was R Dravid born and the role he played? [/INST] | SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many times did SC Ganguly be the man of the match? [/INST] | SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many matches did team Mumbai Indians win in 2008? [/INST] | SELECT COUNT(T.Match_Id) FROM ( SELECT T2.Match_Id FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id WHERE T1.Team_Name = 'Mumbai Indians' AND T2.Match_Date LIKE '2008%' GROUP BY T2.Match_Id ) T; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Which team won by wickets in match ID 335993? [/INST] | SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Win_By AS T4 ON T2.Win_Type = T4.Win_Id WHERE T2.Match_Id = '335993' GROUP BY T1.Team_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Count the matches that were won by wickets in all season. [/INST] | SELECT COUNT(T1.Match_Id) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T2.Win_type = 'wickets'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the role of W Jaffer in season year 2012? [/INST] | SELECT T4.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id INNER JOIN Season AS T5 ON T3.Season_Id = T5.Season_Id WHERE T1.Player_name = 'W Jaffer' AND T5.Season_Year = 2012; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What are the names of players who had been man of the match more than 5 times in season year 2008? [/INST] | SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the average of Indian players that were born between 1975 and 1985 among all players? [/INST] | SELECT CAST(SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE strftime('%Y', T1.DOB) BETWEEN '1975' AND '1985'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Calculate the percentage of left hand batting style players among all players. [/INST] | SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the percentage of matches that are won by runs? [/INST] | SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many matches have 7 points of winning margin? [/INST] | SELECT COUNT(Match_Id) FROM Match WHERE win_margin = 7; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the total number of players born between 1970 to 1975? [/INST] | SELECT COUNT(Player_Id) FROM Player WHERE strftime('%Y', DOB) BETWEEN '1970' AND '1975'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Who is the winning team in a match held on April 26, 2009 with a winning margin of 6 points? [/INST] | SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: In the match ID 419135, who won by runs? [/INST] | SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the matches held in St. George's Park, give the match ID of the match with the highest winning margin points. [/INST] | SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: How many of the players are from Sri Lanka? [/INST] | SELECT COUNT(*) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'Sri Lanka'; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: List the player's name who played as a captain. [/INST] | SELECT T2.Player_Name FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Captain' GROUP BY T2.Player_Name; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Give the match's venue and winning team for the match ID 392194. [/INST] | SELECT T1.Venue_Name, T3.Team_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id INNER JOIN Team AS T3 ON T2.match_winner = T3.Team_Id WHERE T2.Match_Id = 392194; |
[INST] Here is a database schema:
Batting_Style :
Batting_Id [ INTEGER ] primary_key
Batting_hand [ TEXT ]
Bowling_Style :
Bowling_Id [ INTEGER ] primary_key
Bowling_skill [ TEXT ]
City :
City_Id [ INTEGER ] primary_key
City_Name [ TEXT ]
Country_id [ INTEGER ]
Country :
Country_Id [ INTEGER ] primary_key
Country_Name [ TEXT ]
Extra_Type :
Extra_Id [ INTEGER ] primary_key
Extra_Name [ TEXT ]
Extra_Runs :
Match_Id [ INTEGER ]
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Extra_Type_Id [ INTEGER ] Extra_Runs.Extra_Type_Id = Extra_Type.Extra_Id
Extra_Runs [ INTEGER ]
Innings_No [ INTEGER ]
Out_Type :
Out_Id [ INTEGER ] primary_key
Out_Name [ TEXT ]
Outcome :
Outcome_Id [ INTEGER ] primary_key
Outcome_Type [ TEXT ]
Player :
Player_Id [ INTEGER ] primary_key
Player_Name [ TEXT ]
DOB [ DATE ]
Batting_hand [ INTEGER ] Player.Batting_hand = Batting_Style.Batting_Id
Bowling_skill [ INTEGER ] Player.Bowling_skill = Bowling_Style.Bowling_Id
Country_Name [ INTEGER ] Player.Country_Name = Country.Country_Id
Rolee :
Role_Id [ INTEGER ] primary_key
Role_Desc [ TEXT ]
Season :
Season_Id [ INTEGER ] primary_key
Man_of_the_Series [ INTEGER ]
Orange_Cap [ INTEGER ]
Purple_Cap [ INTEGER ]
Season_Year [ INTEGER ]
Team :
Team_Id [ INTEGER ] primary_key
Team_Name [ TEXT ]
Toss_Decision :
Toss_Id [ INTEGER ] primary_key
Toss_Name [ TEXT ]
Umpire :
Umpire_Id [ INTEGER ] primary_key
Umpire_Name [ TEXT ]
Umpire_Country [ INTEGER ] Umpire.Umpire_Country = Country.Country_Id
Venue :
Venue_Id [ INTEGER ] primary_key
Venue_Name [ TEXT ]
City_Id [ INTEGER ] Venue.City_Id = City.City_Id
Win_By :
Win_Id [ INTEGER ] primary_key
Win_Type [ TEXT ]
Match :
Match_Id [ INTEGER ] primary_key
Team_1 [ INTEGER ] Match.Team_1 = Team.Team_Id
Team_2 [ INTEGER ] Match.Team_2 = Team.Team_Id
Match_Date [ DATE ]
Season_Id [ INTEGER ] Match.Season_Id = Season.Season_Id
Venue_Id [ INTEGER ] Match.Venue_Id = Venue.Venue_Id
Toss_Winner [ INTEGER ] Match.Toss_Winner = Team.Team_Id
Toss_Decide [ INTEGER ] Match.Toss_Decide = Toss_Decision.Toss_Id
Win_Type [ INTEGER ] Match.Win_Type = Win_By.Win_Id
Win_Margin [ INTEGER ]
Outcome_type [ INTEGER ] Match.Outcome_type = Out_Type.Out_Id
Match_Winner [ INTEGER ] Match.Match_Winner = Team.Team_Id
Man_of_the_Match [ INTEGER ] Match.Man_of_the_Match = Player.Player_Id
Ball_by_Ball :
Match_Id [ INTEGER ] Ball_by_Ball.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Innings_No [ INTEGER ]
Team_Batting [ INTEGER ]
Team_Bowling [ INTEGER ]
Striker_Batting_Position [ INTEGER ]
Striker [ INTEGER ]
Non_Striker [ INTEGER ]
Bowler [ INTEGER ]
Batsman_Scored :
Match_Id [ INTEGER ] Batsman_Scored.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Runs_Scored [ INTEGER ]
Innings_No [ INTEGER ]
Player_Match :
Match_Id [ INTEGER ] Player_Match.Match_Id = Match.Match_Id
Player_Id [ INTEGER ] Player_Match.Player_Id = Player.Player_Id
Role_Id [ INTEGER ] Player_Match.Role_Id = Rolee.Role_Id
Team_Id [ INTEGER ] Player_Match.Team_Id = Team.Team_Id
Wicket_Taken :
Match_Id [ INTEGER ] Wicket_Taken.Match_Id = Match.Match_Id
Over_Id [ INTEGER ]
Ball_Id [ INTEGER ]
Player_Out [ INTEGER ] Wicket_Taken.Player_Out = Player.Player_Id
Kind_Out [ INTEGER ] Wicket_Taken.Kind_Out = Out_Type.Out_Id
Fielders [ INTEGER ] Wicket_Taken.Fielders = Player.Player_Id
Innings_No [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the matches of Delhi Daredevils in 2009, what is the percentage of their matches won by wickets? [/INST] | SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What is the release title of the single that was released by Ron Hunt in 1979 that was downloaded 239 times? [/INST] | SELECT groupName FROM torrents WHERE artist LIKE 'ron hunt & ronnie g & the sm crew' AND groupYear = 1979 AND releaseType LIKE 'single' AND totalSnatched = 239; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many times was the album released by blowfly in 1980 downloaded? [/INST] | SELECT totalSnatched FROM torrents WHERE artist LIKE 'blowfly' AND groupYear = 1980; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What is the tag of the album with the highest amount of downloads? [/INST] | SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What are the top 5 tags with the highest amount of downloads? [/INST] | SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched DESC LIMIT 5; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What is the release title of the single under the "funk" tag that was released the oldest? [/INST] | SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag LIKE 'funk' AND T1.releaseType = 'single' ORDER BY T1.groupYear LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Name all the release titles of the "ep's" under the alternative tag. [/INST] | SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag LIKE 'alternative' AND T1.releaseType = 'ep'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What are the tags of the top 5 least downloaded live albums? [/INST] | SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched LIMIT 5; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What is the tag and the artist of the most downloaded single? [/INST] | SELECT T2.tag, T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'single' ORDER BY T1.totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many releases are tagged "1980s"? [/INST] | SELECT COUNT(id) FROM tags WHERE tag LIKE '1980s'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many times has the release "city funk" been downloaded? [/INST] | SELECT totalSnatched FROM torrents WHERE groupName LIKE 'city funk'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the releases that have been downloaded for more than 20000 times. [/INST] | SELECT groupName FROM torrents WHERE totalSnatched > 20000; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What are the tags of the release "sugarhill gang"? [/INST] | SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupName = 'sugarhill gang'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many tags does the release "city funk" have？ [/INST] | SELECT COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupName = 'city funk'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the titles of all the releases with the tag "1980s". [/INST] | SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Among the releases with the tag "1980s", which one of them is the most downloaded? Please give its title. [/INST] | SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s' ORDER BY T1.totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many releases by the artist michael jackson are tagged "pop"? [/INST] | SELECT COUNT(T1.groupName) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'pop' AND T1.artist = 'michael jackson'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Among the releases that were released in 2000, how many of them were released as an album and tagged "pop"? [/INST] | SELECT COUNT(T1.groupName) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'pop' AND T1.releaseType = 'album' AND T1.groupYear = 2000; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: What are the average download times for the a release tagged "1980s"? [/INST] | SELECT CAST(SUM(T1.totalSnatched) AS REAL) / COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Name the title of the top three releases with the highest number of downloads. [/INST] | SELECT groupName FROM torrents ORDER BY totalSnatched DESC LIMIT 3; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the name of the artist who released his or her Single-Table in 2012 with the highest number of downloads. Name the Single-Table title as well. [/INST] | SELECT artist, groupName FROM torrents WHERE groupYear = 2012 AND releaseType LIKE 'Single' ORDER BY totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many albums and Single-Tables were released by the artist named '50 cent' between 2010 and 2015? [/INST] | SELECT COUNT(id), ( SELECT COUNT(id) FROM torrents WHERE groupYear BETWEEN 2010 AND 2015 AND artist LIKE '50 cent' AND releaseType LIKE 'album' ) FROM torrents WHERE groupYear BETWEEN 2010 AND 2015 AND artist LIKE '50 cent' AND releaseType LIKE 'Single'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: An American rapper '2Pac' released his first solo album in 1991, how many years have passed until his next album was released? [/INST] | SELECT ( SELECT groupYear FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'album' ORDER BY groupYear LIMIT 1, 1 ) - groupYear FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'album' AND groupYear = 1991; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Find the average number of downloads for Single-Tables released by '2Pac' between 2001 and 2013. [/INST] | SELECT AVG(totalSnatched) FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'Single' AND groupYear BETWEEN 2001 AND 2013; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the title, release year and the tag associated with the live album that has the highest number of downloads? [/INST] | SELECT T1.groupName, T1.groupYear, T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'live album' ORDER BY T1.totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the name of artists who released at least two bootlegs in 2016. [/INST] | SELECT artist FROM torrents WHERE groupYear = 2016 AND releaseType LIKE 'bootleg' GROUP BY artist HAVING COUNT(releaseType) > 2; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Which artist released singles between 1980 to 1982? [/INST] | SELECT artist FROM torrents WHERE groupYear BETWEEN 1980 AND 1982 AND releaseType LIKE 'single'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Indicates groups with id from 10 to 20 with singles downloaded at least 20. [/INST] | SELECT groupName FROM torrents WHERE totalSnatched >= 20 AND releaseType LIKE 'single' AND id BETWEEN 10 AND 20; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Among the artists from 1980 to 1982. Which artist was tagged as "disco"? [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'disco' AND T1.groupYear BETWEEN 1980 AND 1982; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the name of artists who had no more than 100 downloads and are tagged "funk" in 1980. [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'funk' AND T1.groupYear = 1980 AND T1.totalSnatched <= 100; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Which artist has released the most singles with the tag "soul"? [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'soul' AND T1.releaseType = 'single' GROUP BY T1.artist ORDER BY COUNT(T1.releaseType) DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Among the artists with the id from 10 to 30. Which artist released the product with the tag "funk" in 1980? [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'funk' AND T1.groupYear = 1980 AND T1.id BETWEEN 10 AND 30; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: List the group name has the most downloaded that have released jazz genres from 1982 or later. [/INST] | SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'jazz' AND T1.groupYear >= 1982 ORDER BY T1.totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Which artist has id "16"? Provide her or his tag genre. [/INST] | SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.id = 16; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Among id from 10 to 50. Which artist tagged as "new.york" has the most downloads? [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.id BETWEEN 10 AND 50 AND T2.tag LIKE 'new.york' ORDER BY T1.totalSnatched DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: List the name of artists who have released albums and mixtape from 1980 to 1985 in "dance" genre. [/INST] | SELECT COUNT(T1.artist) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'dance' AND T1.groupYear BETWEEN 1980 AND 1985 AND T1.releaseType LIKE 'album' OR T1.releaseType LIKE 'mixtape'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many singles were released between 1979 and 1981 labeled as "soul"? [/INST] | SELECT COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'soul' AND T1.groupYear BETWEEN 1979 AND 1981 AND T1.releaseType LIKE 'single'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many singles were released in 1979? [/INST] | SELECT COUNT(releaseType) FROM torrents WHERE releaseType LIKE 'single' AND groupYear = 1979; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: In 1980, how many singles were released by sugar daddy? [/INST] | SELECT COUNT(releaseType) FROM torrents WHERE artist LIKE 'sugar daddy' AND releaseType LIKE 'Single' AND groupYear = 1980; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: How many christmas albums were released in 2004? [/INST] | SELECT COUNT(T1.id) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'christmas' AND T1.groupYear = 2004 AND T1.releaseType LIKE 'album'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Please list all tags of kurtis blow from 2000 to 2010. [/INST] | SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 2000 AND 2010 AND T1.artist LIKE 'kurtis blow'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Which album title and tag that millie jackson released in 1980? [/INST] | SELECT T1.groupName, T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear = 1980 AND T1.artist LIKE 'millie jackson' AND T1.releaseType LIKE 'album'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Please list all release titles whose tag is jazz in 2005. [/INST] | SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear = 2005 AND T2.tag LIKE 'jazz'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: From 1980 to 2000, which artist had the most disco releases? [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 1980 AND 2000 AND T2.tag LIKE 'disco' GROUP BY T1.artist ORDER BY COUNT(T2.tag) DESC LIMIT 1; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: Which artists have released singles with the tag 1970s? [/INST] | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'single' AND T2.tag LIKE '1970s'; |
[INST] Here is a database schema:
torrents :
groupName [ TEXT ]
totalSnatched [ INTEGER ]
artist [ TEXT ]
groupYear [ INTEGER ]
releaseType [ TEXT ]
groupId [ INTEGER ]
id [ INTEGER ] primary_key
tags :
index [ INTEGER ] primary_key
id [ INTEGER ]
tag [ TEXT ]
Please write me a SQL statement that answers the following question: From 1979 to 1982, what was the percentage of united.states albums out of total albums were released? [/INST] | SELECT CAST(SUM(CASE WHEN T2.tag LIKE 'united.states' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.releaseType) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 1979 AND 1982 AND T1.releaseType LIKE 'album'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries in the group of Heavily Indebted Poor Countries, how many of them are under the lending category of the International Development Associations? [/INST] | SELECT COUNT(CountryCode) FROM Country WHERE LendingCategory = 'IDA' AND OtherGroups = 'HIPC'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the countries under the lending category of the International Development Associations and have a external debt reporting finished by estimation. [/INST] | SELECT ShortName, ExternalDebtReportingStatus FROM Country WHERE LendingCategory = 'IDA'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: What's the description of the series code SM.POP.TOTL for Aruba? [/INST] | SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'SM.POP.TOTL'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the countries in Latin America & Caribbean with a note on the series code SM.POP.TOTL. [/INST] | SELECT T1.SHORTNAME, T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.Region = 'Latin America & Caribbean' AND T2.Seriescode = 'SM.POP.TOTL'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries with note on the series code SM.POP.TOTL, how many of them are in the low-income group? [/INST] | SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SM.POP.TOTL' AND T1.IncomeGroup = 'Low income'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the descriptions of the series code SM.POP.TOTL for all the countries that are under the lending category of the International Development Associations. [/INST] | SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.LendingCategory = 'IDA' AND T2.Seriescode = 'SM.POP.TOTL'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: How many low-income countries under the lending category of the International Development Associations have a note on the series code SM.POP.TOTL? [/INST] | SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.LendingCategory = 'IDA' AND T2.Seriescode = 'SM.POP.TOTL' AND IncomeGroup = 'Low income'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries in the High income: OECD group whose currency unit is Euro, how many of them have a note on the series code SP.DYN.AMRT.FE? [/INST] | SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.IncomeGroup = 'High income: OECD' AND T1.CurrencyUnit = 'Euro' AND T2.Seriescode = 'SP.DYN.AMRT.FE'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: What is the long name of the country with the description "Estimates are derived from data on foreign-born population." on the series code SM.POP.TOTL? [/INST] | SELECT T1.LongName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Estimates are derived FROM data on foreign-born population.' AND T2.Seriescode = 'SM.POP.TOTL'; |
[INST] Here is a database schema:
Country :
CountryCode [ TEXT ] primary_key
ShortName [ TEXT ]
TableName [ TEXT ]
LongName [ TEXT ]
Alpha2Code [ TEXT ]
CurrencyUnit [ TEXT ]
SpecialNotes [ TEXT ]
Region [ TEXT ]
IncomeGroup [ TEXT ]
Wb2Code [ TEXT ]
NationalAccountsBaseYear [ TEXT ]
NationalAccountsReferenceYear [ TEXT ]
SnaPriceValuation [ TEXT ]
LendingCategory [ TEXT ]
OtherGroups [ TEXT ]
SystemOfNationalAccounts [ TEXT ]
AlternativeConversionFactor [ TEXT ]
PppSurveyYear [ TEXT ]
BalanceOfPaymentsManualInUse [ TEXT ]
ExternalDebtReportingStatus [ TEXT ]
SystemOfTrade [ TEXT ]
GovernmentAccountingConcept [ TEXT ]
ImfDataDisseminationStandard [ TEXT ]
LatestPopulationCensus [ TEXT ]
LatestHouseholdSurvey [ TEXT ]
SourceOfMostRecentIncomeAndExpenditureData [ TEXT ]
VitalRegistrationComplete [ TEXT ]
LatestAgriculturalCensus [ TEXT ]
LatestIndustrialData [ INTEGER ]
LatestTradeData [ INTEGER ]
LatestWaterWithdrawalData [ INTEGER ]
Series :
SeriesCode [ TEXT ] primary_key
Topic [ TEXT ]
IndicatorName [ TEXT ]
ShortDefinition [ TEXT ]
LongDefinition [ TEXT ]
UnitOfMeasure [ TEXT ]
Periodicity [ TEXT ]
BasePeriod [ TEXT ]
OtherNotes [ INTEGER ]
AggregationMethod [ TEXT ]
LimitationsAndExceptions [ TEXT ]
NotesFromOriginalSource [ TEXT ]
GeneralComments [ TEXT ]
Source [ TEXT ]
StatisticalConceptAndMethodology [ TEXT ]
DevelopmentRelevance [ TEXT ]
RelatedSourceLinks [ TEXT ]
OtherWebLinks [ INTEGER ]
RelatedIndicators [ INTEGER ]
LicenseType [ TEXT ]
CountryNotes :
Countrycode [ TEXT ] CountryNotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] CountryNotes.Seriescode = Series.SeriesCode
Description [ TEXT ]
Footnotes :
Countrycode [ TEXT ] Footnotes.Countrycode = Country.CountryCode
Seriescode [ TEXT ] Footnotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Indicators :
CountryName [ TEXT ]
CountryCode [ TEXT ] Indicators.CountryCode = Country.CountryCode
IndicatorName [ TEXT ]
IndicatorCode [ TEXT ]
Year [ INTEGER ]
Value [ INTEGER ]
SeriesNotes :
Seriescode [ TEXT ] SeriesNotes.Seriescode = Series.SeriesCode
Year [ TEXT ]
Description [ TEXT ]
Please write me a SQL statement that answers the following question: What is the description of the footnote on the series code AG.LND.FRST.K2 in 1990 for Aruba? [/INST] | SELECT T2.Description FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'AG.LND.FRST.K2' AND T2.Year = 'YR1990'; |
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