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】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    Show the name of the earliest platform in the database. the earliest refers to min(release_year); name of platform refers to platform_name

    【Evidence】
    the earliest refers to min(release_year); name of platform refers to platform_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.platform_name FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id ORDER BY T1.release_year ASC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    For all the games which were published by Namco Bandai Games, what percentage of them were adventure games? published by Namco Bandai Games refers to publisher_name = 'Namco Bandai Games'; adventure game refers to genre_name = 'Adventure'; percentage = divide(sum(game_id where genre_name = 'Adventure'), count(game_id)) * 100% where publisher_name = 'Namco Bandai Games'

    【Evidence】
    published by Namco Bandai Games refers to publisher_name = 'Namco Bandai Games'; adventure game refers to genre_name = 'Adventure'; percentage = divide(sum(game_id where genre_name = 'Adventure'), count(game_id)) * 100% where publisher_name = 'Namco Bandai Games'

    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 T4.genre_name = 'Adventure' THEN T1.id ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T3.publisher_name = 'Namco Bandai Games'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    How many times more is the number of games which were published by Atari than Athena? published by Atari refers to publisher_name = 'Atari'; published by  Athena refers to publisher_name = 'Athena'; times = divide(sum(publisher_id where publisher_name = 'Atari'), sum(publisher_id where publisher_name = 'Athena'))

    【Evidence】
    published by Atari refers to publisher_name = 'Atari'; published by  Athena refers to publisher_name = 'Athena'; times = divide(sum(publisher_id where publisher_name = 'Atari'), sum(publisher_id where publisher_name = 'Athena'))

    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 T1.publisher_name = 'Atari' THEN T2.game_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN T1.publisher_name = 'Athena' THEN T2.game_id ELSE NULL END) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    How many games did Electronic Arts publish? Electronic Arts refers to publisher_name = 'Electronic Arts'

    【Evidence】
    Electronic Arts refers to publisher_name = 'Electronic Arts'

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

SQL: SELECT COUNT(DISTINCT T2.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id WHERE T1.publisher_name = 'Electronic Arts'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    What is the genre of the Advent Rising game? genre refers to genre_name; Advent Rising game refers to game_name = 'Advent Rising'

    【Evidence】
    genre refers to genre_name; Advent Rising game refers to game_name = 'Advent Rising'

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

SQL: SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = 'Advent Rising'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    How many role-playing games did Microsoft Game Studios publish? role-playing game refers to genre_name = 'Role-Playing'; Microsoft Game Studios refers to publisher_name = 'Microsoft Game Studios'

    【Evidence】
    role-playing game refers to genre_name = 'Role-Playing'; Microsoft Game Studios refers to publisher_name = 'Microsoft Game Studios'

    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.id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T4.genre_name = 'Role-Playing' AND T1.publisher_name = 'Microsoft Game Studios'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    Which publisher published the most games? publisher refers to publisher_name; the most games refers to max(count(publisher_id))

    【Evidence】
    publisher refers to publisher_name; the most games refers to max(count(publisher_id))

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

SQL: SELECT T.publisher_name FROM ( SELECT T2.publisher_name, COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id GROUP BY T2.publisher_name ORDER BY COUNT(DISTINCT T1.game_id) DESC LIMIT 1 ) t
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    In 2004, what are the names of the platforms where Codemasters publish its games? name of platform refers to platform_name; Codemasters refers to publisher_name = 'Codemasters'; in 2004 refers to release_year = 2004

    【Evidence】
    name of platform refers to platform_name; Codemasters refers to publisher_name = 'Codemasters'; in 2004 refers to release_year = 2004

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

SQL: SELECT T4.platform_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T3.release_year = 2004 AND T1.publisher_name = 'Codemasters'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    How many games were released on PS4 in 2014? on PS4 refers to platform_name = 'PS4'; in 2014 refers to release_year = 2014

    【Evidence】
    on PS4 refers to platform_name = 'PS4'; in 2014 refers to release_year = 2014

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

SQL: SELECT COUNT(DISTINCT T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'PS4' AND T2.release_year = 2014
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 video_games
【Schema】
# Table: region_sales
[
(region_id:INTEGER, Examples: [1, 2, 3]),
(game_platform_id:INTEGER, Examples: [50, 51, 52]),
(num_sales:REAL, Examples: [3.5, 1.43, 0.51])
]
# Table: game
[
(id:INTEGER, Primary Key, Examples: [44, 45, 46]),
(genre_id:INTEGER, Examples: [4, 5, 11]),
(game_name:TEXT, Examples: [2 Games in 1: Sonic Advance & ChuChu Rocket!])
]
# Table: game_platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_publisher_id:INTEGER, Examples: [8564, 9852, 11063]),
(platform_id:INTEGER, Examples: [4, 7, 15]),
(release_year:INTEGER, Examples: [2007, 2006, 2011])
]
# Table: game_publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(game_id:INTEGER, Examples: [10866, 9244, 5464]),
(publisher_id:INTEGER, Examples: [369, 328, 498])
]
# Table: platform
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(platform_name:TEXT, Examples: [Wii, NES, GB])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [10TACLE Studios])
]
# Table: genre
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(genre_name:TEXT, Examples: [Action, Adventure, Fighting])
]
# Table: region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(region_name:TEXT, Examples: [North America, Europe, Japan])
]
【Foreign keys】
region_sales.game_platform_id=game_platform.id
region_sales.region_id=region.id
game.genre_id=genre.id
game_platform.game_publisher_id=game_publisher.id
game_platform.platform_id=platform.id
game_publisher.game_id=game.id
game_publisher.publisher_id=publisher.id

    【Question】
    What are the names of the publishers who published the oldest games? name of publisher refers to publisher_name; the oldest game refers to min(release_year)

    【Evidence】
    name of publisher refers to publisher_name; the oldest game refers to min(release_year)

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

SQL: SELECT DISTINCT T3.publisher_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id ORDER BY T1.release_year LIMIT 1