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: Write the person ID and character name of casts between order numbers 1 and 10 in Movie No. 285.
Evidence: casts between order numbers 1 and 10 refers to cast_order BETWEEN 2 AND 9; Movie No. 285 refers to movie_id = 285
SQL: SELECT person_id, character_name FROM movie_cast WHERE movie_id = 285 AND cast_order BETWEEN 1 AND 10
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 times did Bob Peterson appear in the movie credits?
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 = 'Bob Peterson'
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: Tally the movie ID and character name in the movie starring Jim Carrey.
SQL: SELECT T2.movie_id, T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Jim Carrey'
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: Give the names of the female cast in Movie No. 1865.
Evidence: female cast refers to gender = 'Female'; name of cast refers to person_name; Movie No. 1865 refers to movie_id = 1865
SQL: SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN gender AS T3 ON T1.gender_id = T3.gender_id WHERE T1.movie_id = 1865 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: Write me the titles of the movies starring Jim Carrey.
Evidence: Jim Carrey is the person_name;
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 = 'Jim Carrey'
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 director's name of the movies released between 1/01/1916 and 12/31/1925.
Evidence: director's name refers to person_name where job = 'Director'; released between 1/01/1916 and 12/31/1925 refers to release_date BETWEEN '1916-01-02' AND '1925-12-30'
SQL: SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN movie AS T3 ON T1.movie_id = T3.movie_id INNER JOIN movie_crew AS T4 ON T1.movie_id = T4.movie_id WHERE T4.job = 'Director' AND T3.release_date BETWEEN '1916-01-01' AND '1925-12-31'
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 films released between 1/2/1990 and 12/30/2000 starred Uma Thurman?
Evidence: released between 1/2/1990 and 12/30/2000 refers to release_date BETWEEN '1990-01-02' AND '2000-12-30'; film has the same meaning as movie; starred Uma Thurman refers to person_name = 'Uma Thurman'
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 = 'Uma Thurman' AND T1.release_date BETWEEN '1990-01-01' AND '2000-12-31'
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: Write the titles of horror films with a vote average of more than 7.
Evidence: horror films refers to genre_name = 'Horror'; vote average of more than 7 refers to vote_average > 7
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 = 'Horror' AND vote_average > 7
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: Give the genre and popularity of movies whose revenue is at least 120,000,000 between 2012 and 2015.
Evidence: genre refers to genre_name; revenue is at least 120,000,000 refers to revenue > = 120000000; between 2012 and 2015 refers to release_date BETWEEN '2012-01-01' AND '2015-12-31'
SQL: SELECT T3.genre_name, T1.popularity 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 T1.revenue > 120000000 AND T1.release_date BETWEEN '2012-01-01' AND '2015-12-31'
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 Indian movies between 1/2/1990 and 12/30/2003 have revenue of more than 75,000,000 and popularity of no less than 20?
Evidence: Indian movies refers to country_name = 'India'; between 1/2/1990 and 12/30/2003 refers to release_date BETWEEN '1990-01-02' AND '2003-12-30'; revenue of more than 75,000,000 refers to revenue > 75000000; popularity of no less than 20 refers to popularity > = 20
SQL: SELECT COUNT(T2.movie_id) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.revenue > 75000000 AND T1.popularity >= 20 AND T1.release_date BETWEEN '1990-01-01' AND '2003-12-31'
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 highest-budget film to date? Please include the revenue and name the country.
Evidence: highest-budget film refers to max(budget); name the country refers to country_name
SQL: SELECT T1.title, T1.revenue, T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id ORDER BY T1.budget 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: List the title of movies in Latin released between 1/01/1990 and 12/31/1995.
Evidence: movies in Latin refers to language_name = 'Latin'; released between 1/01/1990 and 12/31/1995 refers to release_date BETWEEN '1990-01-01' AND '1995-12-31'
SQL: SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin' AND T1.release_date BETWEEN '1990-01-01' AND '1995-12-31'
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 average revenue of American movies in 2006?
Evidence: American movies refers to country_name = 'United States of America'; in 2006 refers to release_date LIKE '2006%'; average revenue = AVG(revenue)
SQL: SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'United States of America' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2006
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: Calculate the 2016 gap between the average revenue for Indian and American films.
Evidence: 2016 refers to release_date LIKE '2016%'; Indian and American films refers to country_name = 'India' and country_name = 'United States of America'; gap between the average revenue refers to subtract(divide(sum(revenue), count(movie_id)) when country_name = 'United States of America', divide(sum(revenue), count(movie_id)) when country_name = 'India')
SQL: SELECT AVG(CASE WHEN T3.COUNTry_name = 'United States of America' THEN T1.revenue END) - AVG(CASE WHEN T3.COUNTry_name = 'India' THEN T1.revenue END) AS CALCULATE FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2016
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 percentage of romance films among films produced in India in 2015?
Evidence: romance films refers to genre_name = 'Romance'; in India refers to country_name = 'India'; 2015 refers to release_date BETWEEN '2015-01-01' AND '2015-01-31'; percentage = divide(sum(movie_id) when genre_name = 'Romance', count(movie_id)) as percentage
SQL: SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Romance' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER JOIN COUNTry AS T5 ON T3.COUNTry_id = T5.COUNTry_id WHERE T5.COUNTry_name = 'India' AND T1.release_date BETWEEN '2015-01-01' AND '2015-12-31'