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】
    What is the region id of Christine Jacoba Aaftink?

    【Evidence】
    

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

SQL: SELECT T1.region_id FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T2.full_name = 'Christine Jacoba Aaftink'
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】
    Mention the height of people who belong to region id 7.

    【Evidence】
    

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

SQL: SELECT T2.height FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T1.region_id = 7
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】
    State the name of the city that held game id 3. name of city refers to city_name

    【Evidence】
    name of city refers to city_name

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

SQL: SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T1.games_id = 3
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 are the id of the games held in London? London refers to city_name = 'London';

    【Evidence】
    London refers to city_name = 'London';

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

SQL: SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'
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 people who are below 30 and participated in the summer season? people who are below 30 refer to person_id where age < 30; the summer season refers to season = 'Summer';

    【Evidence】
    people who are below 30 refer to person_id where age < 30; the summer season refers to season = 'Summer';

    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.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30
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 the name of the game that the people participated in games id 13. name of games refers to games_name;

    【Evidence】
    name of games refers to games_name;

    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.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T2.games_id = 13
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 age of the people who participated in the winter season? AVG(age) where season = 'Winter';

    【Evidence】
    AVG(age) where season = 'Winter';

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

SQL: SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Winter'
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 the people who are under 35 and participated in the summer season? DIVIDE(COUNT(age < 35) / COUNT(person_id)) as percentage where season = 'Summer';

    【Evidence】
    DIVIDE(COUNT(age < 35) / COUNT(person_id)) as percentage where season = '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 T2.age < 35 THEN 1 END) AS REAL) * 100 / COUNT(T2.games_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer'