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】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    How many PG adventure movies did Ron Clements direct? Ron Clements refers to director = 'Ron Clements'; PG is an abbreviation for parental guidance and refers to MPAA_rating = 'PG'; adventure movie refers to genre = 'Adventure';

    【Evidence】
    Ron Clements refers to director = 'Ron Clements'; PG is an abbreviation for parental guidance and refers to MPAA_rating = 'PG'; adventure movie refers to genre = 'Adventure';

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

SQL: SELECT COUNT(*) FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Ron Clements' AND T2.MPAA_rating = 'PG' AND T2.genre = 'Adventure'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    How many horror movies are there? Horror refers to genre = 'Horror';

    【Evidence】
    Horror refers to genre = 'Horror';

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

SQL: SELECT COUNT(movie_title) FROM `movies_total_gross` WHERE genre = 'Horror'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    Who is the villain in the movie "The Great Mouse Detective"? The Great Mouse Detective refers to movie_title = 'The Great Mouse Detective';

    【Evidence】
    The Great Mouse Detective refers to movie_title = 'The Great Mouse Detective';

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

SQL: SELECT villian FROM characters WHERE movie_title = 'The Great Mouse Detective'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    List the voice actors from the movie "Meet the Robinsons". Meet the Robinsons refers to movie_title = 'Meet the Robinsons';

    【Evidence】
    Meet the Robinsons refers to movie_title = 'Meet the Robinsons';

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

SQL: SELECT 'voice-actor' FROM `voice-actors` WHERE movie = 'Meet the Robinsons'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    Which director has made the most movies? the most movies refers to MAX(COUNT(name));

    【Evidence】
    the most movies refers to MAX(COUNT(name));

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

SQL: SELECT director, COUNT(name) FROM director GROUP BY director ORDER BY COUNT(name) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    From 2000 to 2010, in which year did the studio entertainment segment make the most revenue? From 2000 to 2010 refers to Year between 2000 and 2010; the most revenue refers to MAX("Studio Entertainment[NI 1]");

    【Evidence】
    From 2000 to 2010 refers to Year between 2000 and 2010; the most revenue refers to MAX("Studio Entertainment[NI 1]");

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

SQL: SELECT `Year` FROM revenue WHERE `Year` BETWEEN 2000 AND 2010 ORDER BY `Studio Entertainment[NI 1]` DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    List all the songs associated with drama movies. drama refers to genre = 'Drama';

    【Evidence】
    drama refers to genre = 'Drama';

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

SQL: SELECT song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Drama' GROUP BY song
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    Who are the voice actors for all the heroes? FALSE;

    【Evidence】
    FALSE;

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

SQL: SELECT T2.`voice-actor` FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T2.character = T1.hero WHERE T2.movie = T1.movie_title
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 disney
【Schema】
# Table: revenue
[
(Year:INTEGER, Primary Key, Examples: [1991, 1992, 1993]),
(Studio Entertainment[NI 1]:REAL, Examples: [2593.0, 3115.0, 3673.4]),
(Disney Consumer Products[NI 2]:REAL, Examples: [724.0, 1081.0, 1415.1]),
(Disney Interactive[NI 3][Rev 1]:INTEGER, Examples: [174, 260, 206]),
(Walt Disney Parks and Resorts:REAL, Examples: [2794.0, 3306.0, 3440.7]),
(Disney Media Networks:TEXT, Examples: [359, 414, 4,142]),
(Total:INTEGER, Examples: [6111, 7502, 8529])
]
# Table: movies_total_gross
[
(movie_title:TEXT, Primary Key, Examples: [101 Dalmatians]),
(release_date:TEXT, Primary Key, Examples: [Jan 25, 1961, Nov 27, 1996, Nov 22, 2000]),
(genre:TEXT, Examples: [Musical, Adventure, Drama]),
(MPAA_rating:TEXT, Examples: [G, Not Rated, PG]),
(total_gross:TEXT, Examples: [$184,925,485, $84,300,000, $83,320,000]),
(inflation_adjusted_gross:TEXT, Examples: [$5,228,953,251, $2,188,229,052, $2,187,090,808])
]
# Table: characters
[
(movie_title:TEXT, Primary Key, Examples: [Aladdin]),
(release_date:TEXT, Examples: [21-Dec-37, 7-Feb-40, 13-Nov-40]),
(hero:TEXT, Examples: [Snow White, Pinocchio, Dumbo]),
(villian:TEXT, Examples: [Evil Queen, Stromboli, Chernabog]),
(song:TEXT, Examples: [Some Day My Prince Will Come])
]
# Table: director
[
(name:TEXT, Primary Key, Examples: [101 Dalmatians, Aladdin, Alice in Wonderland]),
(director:TEXT, Examples: [David Hand, Ben Sharpsteen, full credits])
]
# Table: voice-actors
[
(character:TEXT, Primary Key, Examples: [Abby Mallard, Abigail Gabble, Abis Mal]),
(voice-actor:TEXT, Examples: [Joan Cusack, Monica Evans, Jason Alexander]),
(movie:TEXT, Examples: [Chicken Little, The Aristocats, The Return of Jafar])
]
【Foreign keys】
movies_total_gross.movie_title=characters.movie_title
characters.hero=voice-actors.character
director.name=characters.movie_title
voice-actors.movie=characters.movie_title

    【Question】
    Provide a list of directors from the 1990s. the 1990s refers to (cast(SUBSTR(release_date, instr(release_date, ', ') + 1) as int) between 1990 and 2000);

    【Evidence】
    the 1990s refers to (cast(SUBSTR(release_date, instr(release_date, ', ') + 1) as int) between 1990 and 2000);

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

SQL: SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name AND CAST(SUBSTR(release_date, INSTR(release_date, ', ') + 1) AS int) BETWEEN 1990 AND 2000 GROUP BY T2.director