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】
    State the publisher name of the game "ModNation Racers". game "ModNation Racers" refers to game_name = 'ModNation Racers'

    【Evidence】
    game "ModNation Racers" refers to game_name = 'ModNation Racers'

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

SQL: SELECT T1.publisher_name 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 WHERE T3.game_name = 'ModNation Racers'
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 id of game platform which makes the most sales in Japan. id of game platform refers to game_platform_id; the most sales refers to max(num_sales); in Japan refers to region_name = 'Japan'

    【Evidence】
    id of game platform refers to game_platform_id; the most sales refers to max(num_sales); in Japan refers to region_name = 'Japan'

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

SQL: SELECT T.game_platform_id FROM ( SELECT T2.game_platform_id, MAX(T2.num_sales) FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Japan' ) 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】
    How many platforms are available for the game Pro Evolution Soccer 2016? game Pro Evolution Soccer 2016 refers to game_name = 'Pro Evolution Soccer 2016'

    【Evidence】
    game Pro Evolution Soccer 2016 refers to game_name = 'Pro Evolution Soccer 2016'

    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.id) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T4.game_name = 'Pro Evolution Soccer 2016'
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 in the database belong to the genre of sports? the genre of sports refers to genre_name = 'Sports'

    【Evidence】
    the genre of sports refers to genre_name = 'Sports'

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

SQL: SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Sports'
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】
    Name of the publisher of the game id 10031. name of publisher refers to publisher_name; the game id 10031 refers to game_id = '10031'

    【Evidence】
    name of publisher refers to publisher_name; the game id 10031 refers to game_id = '10031'

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

SQL: SELECT T2.publisher_name FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T1.game_id = 10031
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】
    State the name of the publisher with the most games. name of publisher refers to publisher_name; the most games refers to max(game_id)

    【Evidence】
    name of publisher refers to publisher_name; the most games refers to max(game_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】
    How many more sports games than simulation games? sports game refers to genre_name = 'Sports'; simulation game refers to genre_name = 'Simulation'; how many more = subtract(sum(game_id where genre_name = 'Sports'), sum(game_id where genre_name = 'Simulation'))

    【Evidence】
    sports game refers to genre_name = 'Sports'; simulation game refers to genre_name = 'Simulation'; how many more = subtract(sum(game_id where genre_name = 'Sports'), sum(game_id where genre_name = 'Simulation'))

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

SQL: SELECT COUNT(CASE WHEN T1.genre_name = 'Sports' THEN T2.id ELSE NULL END) - COUNT(CASE WHEN T1.genre_name = 'Simulation' THEN T2.id ELSE NULL END) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_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】
    Tell the genre of the game "Resident Evil: Revelations". genre refers to genre_name; game "Resident Evil: Revelations" refers to game_name = 'Resident Evil: Revelations'

    【Evidence】
    genre refers to genre_name; game "Resident Evil: Revelations" refers to game_name = 'Resident Evil: Revelations'

    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 = 'Resident Evil: Revelations'
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 sales does game platform id 3871 make in Europe? number of sales = multiply(num_sales, 100000); in Europe refers to region_name = 'Europe'

    【Evidence】
    number of sales = multiply(num_sales, 100000); in Europe refers to region_name = 'Europe'

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

SQL: SELECT T2.num_sales * 100000 FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Europe' AND T2.game_platform_id = 3871
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】
    Give the number of games which were published by Ascaron Entertainment GmbH. published by Ascaron Entertainment GmbH refers to publisher_name = 'Ascaron Entertainment GmbH'

    【Evidence】
    published by Ascaron Entertainment GmbH refers to publisher_name = 'Ascaron Entertainment GmbH'

    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.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id WHERE T1.publisher_name = 'Ascaron Entertainment GmbH'