QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    Name the player who has the most NHL points in draft year. name of the player refers to PlayerName; most NHL points in draft year refers to MAX(P);

    【Evidence】
    name of the player refers to PlayerName; most NHL points in draft year refers to MAX(P);

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.P = ( SELECT MAX(P) FROM SeasonStatus )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    Among all players drafted by the Toronto Maple Leafs in 2008, identify the player with the highest prospects for the draft. players refers to PlayerName; drafted by the Toronto Maple Leafs refers to overallby = 'Toronto Maple Leafs'; highest prospects for the draft refers to MAX(CSS_rank);

    【Evidence】
    players refers to PlayerName; drafted by the Toronto Maple Leafs refers to overallby = 'Toronto Maple Leafs'; highest prospects for the draft refers to MAX(CSS_rank);

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT PlayerName FROM PlayerInfo WHERE overallby = 'Toronto Maple Leafs' AND draftyear = '2008' ORDER BY CSS_rank DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    Name the player and his team who made the playoffs in the 2006-2007 season of SuperElit league with the highest points. name of the player refers to PlayerName; playoffs refers to GAMETYPE = 'Playoffs'; highest points refers to MAX(P); 2006-2007 season refers to SEASON = '2006-2007'; SuperElit league refers to LEAGUE = 'SuperElit';

    【Evidence】
    name of the player refers to PlayerName; playoffs refers to GAMETYPE = 'Playoffs'; highest points refers to MAX(P); 2006-2007 season refers to SEASON = '2006-2007'; SuperElit league refers to LEAGUE = 'SuperElit';

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.PlayerName, T1.TEAM FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2006-2007' AND T1.GAMETYPE = 'Playoffs' AND T1.LEAGUE = 'SuperElit' ORDER BY T1.P DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    How many players who were drafted by the Toronto Maple Leafs have played over 300 games in their first 7 years of the NHL career? drafted by the Toronto Maple Leafs refers to overallby = 'Toronto Maple Leafs'; played over 300 games in their first 7 years of the NHL career refers to sum_7yr_GP > 300;

    【Evidence】
    drafted by the Toronto Maple Leafs refers to overallby = 'Toronto Maple Leafs'; played over 300 games in their first 7 years of the NHL career refers to sum_7yr_GP > 300;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(ELITEID) FROM PlayerInfo WHERE overallby = 'Toronto Maple Leafs' AND sum_7yr_GP > 300
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    How tall is the player from Yale University who picked up 28 penalty minutes in the 2005-2006 season? how tall refers to height_in_cm; Yale University refers to TEAM = 'Yale Univ.'; 28 penalty minutes refers to PIM = '28'; 2005-2006 season refers to SEASON = '2005-2006';

    【Evidence】
    how tall refers to height_in_cm; Yale University refers to TEAM = 'Yale Univ.'; 28 penalty minutes refers to PIM = '28'; 2005-2006 season refers to SEASON = '2005-2006';

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T3.height_in_cm FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN height_info AS T3 ON T2.height = T3.height_id WHERE T1.SEASON = '2005-2006' AND T1.TEAM = 'Yale Univ.' AND T1.PIM = 28
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    Among all goals scored by Calgary Hitmen in the 2007-2008 season, identify the percentage scored by Ian Schultz. goals scored refers to G; Calgary Hitmen refers to TEAM = 'Calgary Hitmen'; percentage = MULTIPLY(DIVIDE(SUM(G WHERE PlayerName = 'Ian Schultz'), SUM(G)), 100); 2007-2008 season refers to SEASON = '2007-2008';

    【Evidence】
    goals scored refers to G; Calgary Hitmen refers to TEAM = 'Calgary Hitmen'; percentage = MULTIPLY(DIVIDE(SUM(G WHERE PlayerName = 'Ian Schultz'), SUM(G)), 100); 2007-2008 season refers to SEASON = '2007-2008';

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CAST(SUM(CASE WHEN T2.PlayerName = 'Ian Schultz' THEN T1.G ELSE 0 END) AS REAL) * 100 / SUM(T1.G) FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2007-2008' AND T1.TEAM = 'Calgary Hitmen'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    What is the birthplace of Aaron Gagnon? FALSE;

    【Evidence】
    FALSE;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT birthplace FROM PlayerInfo WHERE PlayerName = 'Aaron Gagnon'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 ice_hockey_draft
【Schema】
# Table: SeasonStatus
[
(ELITEID:INTEGER, Examples: [3667, 3668, 3669]),
(SEASON:TEXT, Examples: [1997-1998, 1999-2000, 1998-1999]),
(TEAM:TEXT, Examples: [Rimouski Oceanic, Canada U20, Plymouth Whalers]),
(LEAGUE:TEXT, Examples: [QMJHL, WJC-20, OHL]),
(GAMETYPE:TEXT, Examples: [Regular Season, Playoffs]),
(GP:INTEGER, Examples: [58, 18, 7]),
(G:INTEGER, Examples: [44, 15, 1]),
(A:INTEGER, Examples: [71, 26, 1]),
(P:INTEGER, Examples: [115, 41, 2]),
(PIM:INTEGER, Examples: [117, 46, 4]),
(PLUSMINUS:INTEGER, Examples: [27, 4, 0])
]
# Table: PlayerInfo
[
(ELITEID:INTEGER, Primary Key, Examples: [9, 18, 27]),
(PlayerName:TEXT, Examples: [David Bornhammar, David Printz, Yared Hagos]),
(birthdate:TEXT, Examples: [1981-06-15, 1980-07-24, 1983-03-27]),
(birthyear:DATE),
(birthmonth:INTEGER, Examples: [6, 7, 3]),
(birthday:INTEGER, Examples: [15, 24, 27]),
(birthplace:TEXT, Examples: [Lidingo, SWE, Stockholm, SWE, Ostersund, SWE]),
(nation:TEXT, Examples: [Sweden, Austria, Slovakia]),
(height:INTEGER, Examples: [73, 76, 72]),
(weight:INTEGER, Examples: [198, 220, 218]),
(position_info:TEXT, Examples: [D, C, LW/C]),
(shoots:TEXT, Examples: [L, R, -]),
(draftyear:INTEGER, Examples: [1999, 2001, 2002]),
(draftround:INTEGER, Examples: [7, 3, 5]),
(overall:INTEGER, Examples: [192, 225, 70]),
(overallby:TEXT, Examples: [Washington Capitals, Philadelphia Flyers, Dallas Stars]),
(CSS_rank:INTEGER, Examples: [192, 176, 24]),
(sum_7yr_GP:INTEGER, Examples: [0, 13, 6]),
(sum_7yr_TOI:INTEGER, Examples: [0, 84, 42]),
(GP_greater_than_0:TEXT, Examples: [no, yes])
]
# Table: weight_info
[
(weight_id:INTEGER, Primary Key, Examples: [154, 159, 161]),
(weight_in_kg:INTEGER, Examples: [70, 72, 73]),
(weight_in_lbs:INTEGER, Examples: [154, 159, 161])
]
# Table: height_info
[
(height_id:INTEGER, Primary Key, Examples: [65, 67, 68]),
(height_in_cm:INTEGER, Examples: [165, 170, 172]),
(height_in_inch:TEXT, Examples: [5'5", 5'7", 5'8"])
]
【Foreign keys】
SeasonStatus.ELITEID=PlayerInfo.ELITEID
PlayerInfo.height=height_info.height_id
PlayerInfo.weight=weight_info.weight_id

    【Question】
    What is the weight in kg of Tony Martensson? FALSE;

    【Evidence】
    FALSE;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.weight_in_kg FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T1.PlayerName = 'Tony Martensson'