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】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    How many gold medals were given to the winners in the Ice Hockey Men's Ice Hockey event? gold medals given to the winners refer to competitor_id where medal_name = 'Gold'; Ice Hockey Men's Ice Hockey refers to event_name = 'Ice Hockey Men''s Ice Hockey';

    【Evidence】
    gold medals given to the winners refer to competitor_id where medal_name = 'Gold'; Ice Hockey Men's Ice Hockey refers to event_name = 'Ice Hockey Men''s Ice Hockey';

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

SQL: SELECT COUNT(T2.competitor_id) FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id WHERE T1.event_name LIKE 'Ice Hockey Men%s Ice Hockey' AND T2.medal_id = 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    Which region has the highest medal number? region refers to region_name; the highest medal number refers to MAX(COUNT(medal_id <> 4));

    【Evidence】
    region refers to region_name; the highest medal number refers to MAX(COUNT(medal_id <> 4));

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

SQL: SELECT T5.region_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person_region AS T4 ON T3.person_id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.id != 4 GROUP BY T5.region_name ORDER BY COUNT(T2.competitor_id) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    List out all the gold medalist winners in cycling sport. gold medalist winners refer to full_name where medal_name = 'Gold'; cycling sport refers to sport_name = 'Cycling';

    【Evidence】
    gold medalist winners refer to full_name where medal_name = 'Gold'; cycling sport refers to sport_name = 'Cycling';

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

SQL: SELECT DISTINCT T5.full_name FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN sport AS T4 ON T1.sport_id = T4.id INNER JOIN person AS T5 ON T3.person_id = T5.id WHERE T4.sport_name = 'Cycling' AND T2.medal_id = 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    List out all the medals won by Lee Chong Wei. medals refer to medal_id where medal_id <> 4;

    【Evidence】
    medals refer to medal_id where medal_id <> 4;

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

SQL: SELECT DISTINCT T1.medal_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person AS T4 ON T3.person_id = T4.id WHERE T4.full_name = 'Lee Chong Wei' AND T2.medal_id <> 4
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    What is the percentage of female athletes below 20s who participated in the 2002 Winter Olympic? DIVIDE(COUNT(person_id where gender = 'F' and age < 20), COUNT(person_id)) as percentage where games_name = '2002 Winter';

    【Evidence】
    DIVIDE(COUNT(person_id where gender = 'F' and age < 20), COUNT(person_id)) as percentage where games_name = '2002 Winter';

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

SQL: SELECT CAST(COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2002 Winter' AND T2.age < 20
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    What is the ratio male to female athletes in the 2012 Summer Olympic? DIVIDE(COUNT(gender = 'M'), COUNT(gender = 'F')) where games_name = '2012 Summer';

    【Evidence】
    DIVIDE(COUNT(gender = 'M'), COUNT(gender = 'F')) where games_name = '2012 Summer';

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

SQL: SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2012 Summer'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    How many athletes from Malaysia have won a medal? Malaysia refers to region_name = 'Malaysia'; athletes won a medal refer to competitor_id where medal_id <> 4;

    【Evidence】
    Malaysia refers to region_name = 'Malaysia'; athletes won a medal refer to competitor_id where medal_id <> 4;

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

SQL: SELECT COUNT(T3.person_id) FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person_region AS T4 ON T3.person_id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T5.region_name = 'Malaysia' AND T1.id != 4
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    What is the average height of male athletes playing basketball sport? AVG(height) where sport_name = 'Basketball' and event_name = 'Basketball Men''s';

    【Evidence】
    AVG(height) where sport_name = 'Basketball' and event_name = 'Basketball Men''s';

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

SQL: SELECT AVG(T5.height) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T1.sport_name = 'Basketball' AND T5.gender = 'M'