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CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many movies have "vi" as their language code? | SELECT COUNT(T1.movie_id) FROM movie_languages AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_code = 'vi' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the third least common genre? | SELECT T2.genre_name FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id GROUP BY T2.genre_id ORDER BY COUNT(T1.movie_id) LIMIT 2, 1 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the original language of the movie with the tagline "An offer you can't refuse."? | SELECT T3.language_name 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 INNER JOIN language_role AS T4 ON T2.language_role_id = T4.role_id WHERE T4.language_role = 'Original' AND T1.tagline LIKE 'An offer you can%t refuse.' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Provide the average revenue of all the French movies. | 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 = 'France' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List all the unspecified gender characters. | SELECT T1.character_name FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id WHERE T2.gender = 'Unspecified' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What are the top 5 most popular movie directors? | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.job = 'Director' ORDER BY T1.popularity DESC LIMIT 5 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the film with the highest budget in each genre. | SELECT T3.genre_name, MAX(T1.budget) 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 GROUP BY T3.genre_name | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the title of the movie with the most keywords? | SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id GROUP BY T1.title ORDER BY COUNT(T2.keyword_id) DESC LIMIT 1 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Which department has the most people? | SELECT T1.department_name FROM department AS T1 INNER JOIN movie_crew AS T2 ON T1.department_id = T2.department_id GROUP BY T1.department_id ORDER BY COUNT(T2.department_id) DESC LIMIT 1 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What percentage of films are made in the US? | SELECT CAST(COUNT(CASE WHEN T3.COUNTry_iso_code = 'US' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) 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 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the average ratio between female and male actors in a movie? | SELECT CAST(COUNT(CASE WHEN T2.gender = 'Female' THEN T1.person_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN T2.gender = 'Male' THEN T1.person_id ELSE NULL END) FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the movies released in 1945. | SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) = 1945 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Provide the ID and ISO code of Belgium. | SELECT COUNTry_id, COUNTry_iso_code FROM COUNTry WHERE COUNTry_name = 'Belgium' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the character names played by Catherine Deneuve. | SELECT T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Catherine Deneuve' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the movies in the Somali language. | 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 = 'Somali' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Provide the release date and language of the most popular movie. | SELECT T1.release_date, T3.language_name 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 ORDER BY T1.popularity DESC LIMIT 1 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the original language of the "Four Rooms" movie? | SELECT T3.language_name 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 INNER JOIN language_role AS T4 ON T2.language_role_id = T4.role_id WHERE T4.language_role = 'Original' AND T1.title = 'Four Rooms' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the character names in the "Open Water" movie. | SELECT T2.character_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Open Water' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Who is the main actor in the "Pirates of the Caribbean: At World's End" movie? | SELECT 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 T1.title LIKE 'Pirates of the Caribbean: At World%s End' ORDER BY T2.cast_order LIMIT 1 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the names of camera supervisors in the crew. | SELECT T1.person_name FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T2.job = 'Camera Supervisor' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the job titles of Sally Menke in the crew. | SELECT DISTINCT T2.job FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Sally Menke' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Provide the names and departments of the person who worked as a music editor in the "Pirates of the Caribbean: At World's End" movie. | SELECT T3.person_name, T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Music Editor' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Provide the titles and revenues of the movies produced by the DreamWorks company. | SELECT T1.title, T1.revenue FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T2.company_id = T3.company_id WHERE T3.company_name = 'DreamWorks' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many movies were produced in Canada? | SELECT COUNT(T2.movie_id) FROM COUNTry AS T1 INNER JOIN production_COUNTry AS T2 ON T1.COUNTry_id = T2.COUNTry_id WHERE T1.COUNTry_name = 'Canada' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the genres of Forrest Gump movie. | SELECT T3.genre_name 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.title = 'Forrest Gump' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Provide the production companies of the movie that has over 35% average running time per movie in 2016. | SELECT T.company_name FROM ( SELECT DISTINCT T3.company_name, T1.runtime FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T3.company_id = T2.company_id WHERE T1.release_date LIKE '2016%' ) T WHERE T.runtime * 100 > (0.35 * ( SELECT AVG(T1.runtime) FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T3.company_id = T2.company_id WHERE T1.release_date LIKE '2016%' ) + ( SELECT AVG(T1.runtime) FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T3.company_id = T2.company_id WHERE T1.release_date LIKE '2016%' )) * 100 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Find the difference in percentage of the movies under keywords of "woman director" and "independent film". | SELECT CAST((SUM(CASE WHEN T1.keyword_name = 'woman director' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.keyword_name = 'independent film' THEN 1 ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T1.keyword_name = 'independent film' THEN 1 ELSE 0 END) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Which genre does the movie Dancer in the Dark belong to? | SELECT T3.genre_name 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.title = 'Dancer in the Dark' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many adventure movies are there that were released in 2000? | SELECT COUNT(T1.movie_id) 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 = 'Adventure' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2000 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Which movies did the company Paramount Pictures produce in 2000? | 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 = 'Paramount Pictures' AND CAST(STRFTIME('%Y', T3.release_date) AS INT) = 2000 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What keyword can the user use to search for the movie Finding Nemo? | SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Finding Nemo' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Name the horror movies with positive ratings greater than 7. | 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 T1.vote_average > 7 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many production companies made more than 150 movies? | SELECT COUNT(*) FROM ( SELECT T1.company_name AS CNAME 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(T1.company_name) > 150 ) | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the role of Mark Hammel? | SELECT T2.job FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Mark Hammel' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many main actors are there in the movie Pirates of the Caribbean: At World's End? | SELECT COUNT(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' AND T2.cast_order = ( SELECT MIN(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' ) | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Which movies have the participation of actor Harrison Ford? | 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 = 'Harrison Ford' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Which character did Orlando Bloom play in the movie Pirates of the Caribbean: The Curse of the Black Pearl? | SELECT T2.character_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 T1.title = 'Pirates of the Caribbean: The Curse of the Black Pearl' AND T3.person_name = 'Orlando Bloom' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the average number of horror movies among all movies genre? | SELECT CAST(COUNT(CASE WHEN T3.genre_name = 'Horror' THEN T1.movie_id ELSE NULL END) AS REAL) / COUNT(T1.movie_id) 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 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | List the names of all the producers in the movie "Pirates of the Caribbean: At World's End". | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Pirates of the Caribbean: The Curse of the Black Pearl' AND T2.job = 'Producer' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Calculate the average income made by movies using the keyword "paris". List the title of the movies. | SELECT AVG(T1.revenue), T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'paris' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many English language codes whose comments for the method are in the XML format? | SELECT COUNT(Lang) FROM Method WHERE Lang = 'en' AND CommentIsXml = 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the task of the method whose tokenized name is "online median filter test median window filling"? | SELECT SUBSTR(SUBSTR(Name, INSTR(Name, '.') + 1), 1, INSTR(SUBSTR(Name, INSTR(Name, '.') + 1), '.') - 1) task FROM Method WHERE NameTokenized = 'online median filter test median window filling' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the time of sampling of the solution with the highest sampling time? Indicate the id number of the solution. | SELECT DISTINCT SampledAt, SolutionId FROM Method WHERE SampledAt = ( SELECT MAX(SampledAt) FROM Method ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many followers do the most followed repository on Github have? Give the github address of the repository. | SELECT Forks, Url FROM Repo WHERE Forks = ( SELECT MAX(Forks) FROM Repo ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the id of the repository with the highest number of solution path? | SELECT RepoId FROM solution GROUP BY RepoId ORDER BY COUNT(Path) DESC LIMIT 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the most liked repository? Indicate its github address and the amount of stars it has received. | SELECT Url, Stars FROM Repo WHERE Stars = ( SELECT MAX(Stars) FROM Repo ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the name of the solution path with the highest processed time? | SELECT Path FROM Solution WHERE ProcessedTime = ( SELECT MAX(ProcessedTime) FROM Solution ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How much is the processed time of downloading the most popular repository? | SELECT ProcessedTime FROM Repo WHERE Watchers = ( SELECT MAX(Watchers) FROM Repo ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the github address of the "nofear_Mara\Mara.sln" solution path? | SELECT Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE Path = 'nofear_MaraMara.sln' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Which repository has the longest amount of processed time of downloading? Indicate whether the solution paths in the repository can be implemented without needs of compilation. | SELECT DISTINCT T1.id, T2.WasCompiled FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.ProcessedTime = ( SELECT MAX(ProcessedTime) FROM Repo ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the tokenized name of the solution whose path is "maravillas_linq-to-delicious\tasty.sln"? | SELECT DISTINCT T2.NameTokenized FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'maravillas_linq-to-delicious' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Among the repositories whose number of stars received are between 6,000 to 9,000, which repository has the highest number of solution paths and many of those solution paths needs to be compiled if user wants to implement it? | SELECT T2.RepoId, COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars BETWEEN 6000 AND 9000 AND T2.WasCompiled = 0 GROUP BY T2.RepoId ORDER BY COUNT(T2.RepoId) DESC LIMIT 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | In the "https://github.com/wallerdev/htmlsharp.git", give all the linearized sequenced of API calls. | SELECT T3.ApiCalls FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId INNER JOIN Method AS T3 ON T2.Id = T3.SolutionId WHERE T1.Url = 'https://github.com/wallerdev/htmlsharp.git' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many solution paths are there inside the 2nd most popular repository? | SELECT COUNT(DISTINCT T2.Path) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Watchers = ( SELECT Watchers FROM Repo ORDER BY Watchers DESC LIMIT 1, 1 ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the average processed time of the solution paths inside the "https://github.com/zphingphong/DiscardCustomerApp.git"? | SELECT CAST(SUM(T2.ProcessedTime) AS REAL) / COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/zphingphong/DiscardCustomerApp.git' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the full comment on the method whose solution path is "bmatzelle_nini\Source\Nini.sln" with a tokenized name of "alias text add alias"? | SELECT T2.FullComment FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'bmatzelle_niniSourceNini.sln' AND T2.NameTokenized = 'alias text add alias' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the linearized sequenced of API calls of the method whose solution path is "mauriciodeamorim_tdd.encontro2\Tdd.Encontro2.sln"? | SELECT T2.ApiCalls FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'mauriciodeamorim_tdd.encontro2Tdd.Encontro2.sln' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many solution paths that needs to be compiled if user wants to implement it in "https://github.com/jeffdik/tachy.git"? | SELECT COUNT(T2.Path) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/jeffdik/tachy.git' AND T2.WasCompiled = 0 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How much is the processed time of the method whose tokenized name is "about box1 dispose"? Indicate the language of the method. | SELECT DISTINCT T1.ProcessedTime, T2.Lang FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.NameTokenized = 'about box1 dispose' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | In "maxild_playground\Playground.sln", what is the time of sampling for the method "GitHubRepo.Cli.GitHubClientWrapper.GetReleases"? | SELECT T2.SampledAt FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'maxild_playgroundPlayground.sln' AND T2.Name = 'GitHubRepo.Cli.GitHubClientWrapper.GetReleases' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the language of the method used in the solution path "opendns_diagnosticapp\windows\OpenDnsDiagnostic.sln"? | SELECT T2.Lang FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'opendns_diagnosticappwindowsOpenDnsDiagnostic.sln' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What's the task of the method whose tokenized name is "html parser feed"? | SELECT SUBSTR(SUBSTR(Name, INSTR(Name, '.') + 1), 1, INSTR(SUBSTR(Name, INSTR(Name, '.') + 1), '.') - 1) task FROM Method WHERE NameTokenized = 'html parser feed' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Are the comments for the method "HtmlSharp.HtmlParser.Feed" in XML format? | SELECT CASE WHEN CommentIsXml = 0 THEN 'No' WHEN CommentIsXml = 1 THEN 'Yes' END isXMLFormat FROM Method WHERE Name = 'HtmlSharp.HtmlParser.Feed' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Which method has the summary "Write a command to the log"? | SELECT Name FROM Method WHERE Summary = 'Write a command to the log' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many solutions contain files found within the repository most people like? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = ( SELECT MAX(Stars) FROM Repo ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Please list the path of the solution that contains files found within the repository most people like. | SELECT DISTINCT T2.Path FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = ( SELECT MAX(Stars) FROM Repo ) | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the github address of the repository that contains files used by solution ID12? | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 12 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Among the solutions that contain files within the repository followed by over 1000 people, how many of them can be
implemented without needs of compilation? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Forks > 1000 AND T2.WasCompiled = 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Which solution contains files within a more popular repository, the solution ID18 or solution ID19? | SELECT CASE WHEN SUM(CASE WHEN T2.Id = 18 THEN T1.Watchers ELSE 0 END) > SUM(CASE WHEN T2.Id = 19 THEN T1.Watchers ELSE 0 END) THEN 'SolutionID18' WHEN SUM(CASE WHEN T2.Id = 18 THEN T1.Watchers ELSE 0 END) < SUM(CASE WHEN T2.Id = 19 THEN T1.Watchers ELSE 0 END) THEN 'SolutionID19' END isMorePopular FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Among the solutions that contain files within the repository needing the longest processed time to download, how many of them doesn't need to be
compiled if user wants to implement it? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.ProcessedTime = ( SELECT MAX(ProcessedTime) FROM Repo ) AND T2.WasCompiled = 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the processed time to download the repository whose files are contained in the solution with the path "jeffdik_tachy\src\Tachy.sln". | SELECT DISTINCT T2.ProcessedTime FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Path = 'jeffdik_tachysrcTachy.sln' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Please give the url of the repository whose files are contained in solution ID 9? | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 9 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Please list all the paths of the solutions containing files within the repository whose url is "https://github.com/maxild/playground.git". | SELECT T2.Path FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/maxild/playground.git' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Among the repositories with over 200 likes, how many of them have files contained by solutions with a processed time of under 636439500080712000? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.ProcessedTime < 636439500080712000 AND T1.Stars > 200 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Please list the IDs of the solutions that contain files within the top 3 followed repositories. | SELECT T2.Id FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId ORDER BY T1.Forks DESC LIMIT 3 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the average time needed for the solutions containing files within the repository whose url is "https://github.com/jeffdik/tachy.git" to be processd? | SELECT CAST(SUM(T2.ProcessedTime) AS REAL) / COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/jeffdik/tachy.git' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many more followers in percentage are there for the repository used by solution ID 18 than solution ID19? | SELECT CAST((SUM(CASE WHEN T2.Id = 18 THEN T1.Forks ELSE 0 END) - SUM(CASE WHEN T2.Id = 19 THEN T1.Forks ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T2.Id = 19 THEN T1.Forks ELSE 0 END) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the language of the method ''PixieTests.SqlConnectionLayerTests.TestSqlCreateGuidColumn"? | SELECT Lang FROM Method WHERE Name = 'PixieTests.SqlConnectionLayerTests.TestSqlCreateGuidColumn' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Show the full Comment of the method "DE2_UE_Fahrradkurier.de2_uebung_fahrradkurierDataSet1TableAdapters.TableAdapterManager.UpdateInsertedRows". | SELECT FullComment FROM Method WHERE Name = 'DE2_UE_Fahrradkurier.de2_uebung_fahrradkurierDataSet1TableAdapters.TableAdapterManager.UpdateInsertedRows' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | List the summary of the method "Castle.MonoRail.Framework.Test.StubViewComponentContext.RenderSection". | SELECT DISTINCT Summary FROM Method WHERE Name = 'Castle.MonoRail.Framework.Test.StubViewComponentContext.RenderSection' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Give the tokenized name for the method "Supay.Irc.Messages.KnockMessage.GetTokens". | SELECT NameTokenized FROM Method WHERE Name = 'Supay.Irc.Messages.KnockMessage.GetTokens' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many stars does the repository of the solution No. 45997 have? | SELECT T1.Stars FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 45997 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the repository which got '8094' Stars, how many solutions does it contain? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = 8094 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the solution path for the method "IQ.Data.DbQueryProvider.CanBeEvaluatedLocally"? | SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'IQ.Data.DbQueryProvider.CanBeEvaluatedLocally' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the method which got the tokenized name as 'interp parser expr', what is the processed time for its solution? | SELECT T1.ProcessedTime FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.NameTokenized = 'interp parser expr' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | What is the repository number for the solution of method "SCore.Poisson.ngtIndex"? | SELECT T1.RepoId FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'SCore.Poisson.ngtIndex' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Tell the path of the solution for the method "ExportToRTF.RTFStyleSheet.H6Write". | SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'ExportToRTF.RTFStyleSheet.H6Write' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the repository with '8094' watchers , how many solutions does it contain? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Watchers = 8094 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Give the repository Url of the one with most solutions. | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId GROUP BY T2.RepoId ORDER BY COUNT(T2.RepoId) DESC LIMIT 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many solutions does the repository which has 1445 Forks contain? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Forks = 1445 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Among all the solution of the 'zh-cn' methods, which path is most often used? | SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Lang = 'zh-cn' GROUP BY T1.Path ORDER BY COUNT(T1.Path) DESC LIMIT 1 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Give the number of watchers that the repository of the solution No. 338082 have. | SELECT T1.Watchers FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 338082 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the repository which got '189' Stars, how many solutions which needs to be compiled does it contain? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = 189 AND T2.WasCompiled = 0 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Show the solution path for the method "Mosa.Platform.x86.Instructions.IMul.EmitLegacy"? | SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'Mosa.Platform.x86.Instructions.IMul.EmitLegacy' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the method which got the tokenized name as 't jadwal entity get single mpic', what is the path time for its solution? | SELECT DISTINCT T1.ProcessedTime FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.NameTokenized = 't jadwal entity get single mpic' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Give the repository ID for the solution of method "Kalibrasi.Data.EntityClasses.THistoryJadwalEntity.GetSingleTjadwal". | SELECT DISTINCT T1.RepoId FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'Kalibrasi.Data.EntityClasses.THistoryJadwalEntity.GetSingleTjadwal' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the method has the summary of "Refetches the Entity from the persistent storage. Refetch is used to re-load an Entity which is marked "Out-of-sync", due to a save action. Refetching an empty Entity has no effect.", what is its solution path? | SELECT DISTINCT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Summary = 'Refetches the Entity FROM the persistent storage. Refetch is used to re-load an Entity which is marked "Out-of-sync", due to a save action. Refetching an empty Entity has no effect.' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | Give the number of solutions that the repository which has 3060 Stars contains. | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = 3060 | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | For the solution of the most 'sw' methods, what is its path? | SELECT DISTINCT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Lang = 'sw' | bird |
CREATE TABLE codebase_comments (Id integer, Name text, FullComment text, Summary text, ApiCalls text, CommentIsXml integer, SampledAt integer, SolutionId integer, Lang text, NameTokenized text, Id integer, MethodId text, Type text, Name text, Id integer, Url text, Stars integer, Forks integer, Watchers integer, ProcessedTime integer, Id integer, RepoId integer, Path text, ProcessedTime integer, WasCompiled integer) | How many percent more of the watchers for the repository of solution No.83855 than No.1502? | SELECT CAST(SUM(CASE WHEN T2.Id = 83855 THEN T1.Watchers ELSE 0 END) - SUM(CASE WHEN T2.Id = 1502 THEN T1.Watchers ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T2.Id = 1502 THEN T1.Watchers ELSE 0 END) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId | bird |
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