1sf/bird-sql-train-with-schema huggingface dataset:
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: Provide the title of the movie that is most-liked by a large number of people.
Evidence: most-liked by a large number of people refers to max(popularity)
SQL: SELECT title FROM movie ORDER BY popularity DESC LIMIT 1
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: Who is the person associated with the crew id 1325273?
Evidence: Who is the person refers to person_name; crew id 1325273 refers to person_id = 1325273
SQL: SELECT person_name FROM person WHERE person_id = 1325273
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: What is the name of the production company that made the most movies?
Evidence: name of the production company refers to company_name; most movies refers to max(count(company_name))
SQL: SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: Who played Captain Jack Sparrow in all of the Pirates of the Caribbean movies?
Evidence: Captain Jack Sparrow refers to character_name = 'Captain Jack Sparrow'; Pirates of the Caribbean movies refers to title LIKE 'Pirates of the Carribbean%'
SQL: SELECT DISTINCT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.character_name = 'Captain Jack Sparrow' AND T1.title LIKE 'Pirates of the Caribbean%'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: What is Walt Disney Pictures' most popular movie?
Evidence: Walt Disney Pictures refers to company_name = 'Walt Disney Pictures'; most popular movie refers to max(popularity)
SQL: SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Walt Disney Pictures' ORDER BY T3.popularity DESC LIMIT 1
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: How many movies did Universal Studios release?
Evidence: Universal Studios refers to company_name = 'Universal Studios'
SQL: SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Universal Studios'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: Which production company produced the movie that made the most money at the box office?
Evidence: Which production company refers to company_name; most money at the box office refers to max(revenue)
SQL: SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id GROUP BY T1.company_id ORDER BY SUM(T3.revenue) DESC LIMIT 1
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: How many female crews are in the movie "Mr. Smith Goes to Washington"?
Evidence: female crews refers to gender = 'Female'; "Mr. Smith Goes to Washington" refers to title = 'Mr. Smith Goes to Washington'
SQL: SELECT COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Mr. Smith Goes to Washington' AND T3.gender = 'Female'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: List the names of the production companies that made at least 200 movies.
Evidence: names of the production companies refers to company_name; at least 200 movies refers to COUNT(company_name) > = 200
SQL: SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: How many movies did Harrison Ford appear in total?
SQL: SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Harrison Ford'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: What is the title of Jamie Foxx's most recent movie?
Evidence: most recent movie refers to max(release_date)
SQL: SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jamie Foxx' ORDER BY T1.release_date DESC LIMIT 1
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: How many movies released in 1995 did Quentin Tarantino appear in?
Evidence: released in 1995 refers to release_date LIKE '1995%'
SQL: SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Quentin Tarantino' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1995
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: What is the title of the first crime movie ever released?
Evidence: first crime movie ever released refers to min(release_date) and genre_name = 'Crime'
SQL: SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Crime' ORDER BY T1.release_date LIMIT 1
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: How many horror movies are there?
Evidence: horror movies refers to genre_name = 'Horror'
SQL: SELECT COUNT(T1.movie_id) FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Horror'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: List the person IDs of the second film editors in Movie No. 12.
Evidence: second film editors refers to job = 'Second Film Editor'; Movie No. 12 refers to movie_id = 12
SQL: SELECT person_id FROM movie_crew WHERE movie_id = 12 AND job = 'Second Film Editor'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: How many animators does Movie No. 129 have?
Evidence: animators refers to job = 'Animation'; Movie No. 129 refers to movie_id = 129
SQL: SELECT COUNT(movie_id) FROM movie_crew WHERE movie_id = 129 AND job = 'Animation'
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: In Movie No. 19, how many people are there in Department No. 7? Please give me their job.
Evidence: Movie No. 19 refers to movie_id = 19; Department No. 7 refers to department_id = 7
SQL: SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7