input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT AVG(T1.revenue) 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 = 'civil war'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT popularity FROM movie ORDER BY vote_COUNT DESC LIMIT 1; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT title FROM movie WHERE budget = 0 ORDER BY revenue DESC LIMIT 1; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT T2.company_id FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Gladiator'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT T2.company_id FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1916; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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 = 'Lucasfilm'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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 = 'Warner Bros. Pictures' ORDER BY T3.revenue DESC LIMIT 1; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT T3.release_date 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 = 'Twentieth Century Fox Film Corporation'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT T2.language_id FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Walk the Line'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT T2.language_id FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.popularity DESC LIMIT 1; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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 WHERE T1.title LIKE 'C%era una volta il West'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT DISTINCT CASE WHEN T1.movie_status = 'Post Production' THEN 'YES' ELSE 'NO' END AS YORN 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 = 'Nederlands'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT DISTINCT T1.tagline 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 = 'Polski'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT DISTINCT T1.homepage 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 = 'Bahasa indonesia'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT SUM(CASE WHEN T3.language_name = 'English' THEN T1.revenue ELSE 0 END) - SUM(CASE WHEN T3.language_name = 'Latin' THEN T1.revenue ELSE 0 END) AS DIFFERENCE 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT SUM(T3.revenue) 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 IN ('Fantasy Films', 'Live Entertainment'); |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT person_name FROM person GROUP BY person_name ORDER BY COUNT(person_name) DESC LIMIT 1; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT CAST(SUM(CD) AS REAL) / COUNT(movie_id) FROM ( SELECT movie_id, COUNT(person_id) AS CD FROM movie_crew GROUP BY movie_id ); |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT keyword_name FROM keyword WHERE keyword_name LIKE '%christmas%'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT MAX(runtime) FROM movie; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT COUNTry_iso_code FROM COUNTry WHERE COUNTry_name = 'Kyrgyz Republic'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT overview FROM movie WHERE title = 'The Pacifier'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT COUNT(T1.movie_id) FROM movie_company AS T1 INNER JOIN production_company AS T2 ON T1.company_id = T2.company_id WHERE T2.company_name = 'Eddie Murphy Productions'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT DISTINCT T1.person_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T2.character_name LIKE '%captain%'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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.release_date LIKE '2006%' GROUP BY T3.keyword_name ORDER BY COUNT(T3.keyword_name) DESC LIMIT 1; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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.'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) = 1945; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | SELECT COUNTry_id, COUNTry_iso_code FROM COUNTry WHERE COUNTry_name = 'Belgium'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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... |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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 ... |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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.keywor... |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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 ); |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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 mo... |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ T... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT COUNT(Lang) FROM Method WHERE Lang = 'en' AND CommentIsXml = 1; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT DISTINCT SampledAt, SolutionId FROM Method WHERE SampledAt = ( SELECT MAX(SampledAt) FROM Method ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT Forks, Url FROM Repo WHERE Forks = ( SELECT MAX(Forks) FROM Repo ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT RepoId FROM solution GROUP BY RepoId ORDER BY COUNT(Path) DESC LIMIT 1; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT Url, Stars FROM Repo WHERE Stars = ( SELECT MAX(Stars) FROM Repo ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT Path FROM Solution WHERE ProcessedTime = ( SELECT MAX(ProcessedTime) FROM Solution ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT ProcessedTime FROM Repo WHERE Watchers = ( SELECT MAX(Watchers) FROM Repo ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE Path = 'nofear_MaraMara.sln'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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 ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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 ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT T2.Lang FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'opendns_diagnosticappwindowsOpenDnsDiagnostic.sln'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT SUBSTR(SUBSTR(Name, INSTR(Name, '.') + 1), 1, INSTR(SUBSTR(Name, INSTR(Name, '.') + 1), '.') - 1) task FROM Method WHERE NameTokenized = 'html parser feed'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT CASE WHEN CommentIsXml = 0 THEN 'No' WHEN CommentIsXml = 1 THEN 'Yes' END isXMLFormat FROM Method WHERE Name = 'HtmlSharp.HtmlParser.Feed'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT Name FROM Method WHERE Summary = 'Write a command to the log'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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 ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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 ); |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 12; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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 INNE... |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT DISTINCT T2.ProcessedTime FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Path = 'jeffdik_tachysrcTachy.sln'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 9; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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'; |
[INST] Here is a database schema:
Method :
Id [ INTEGER ] primary_key
Name [ TEXT ]
FullComment [ TEXT ]
Summary [ TEXT ]
ApiCalls [ TEXT ]
CommentIsXml [ INTEGER ]
SampledAt [ INTEGER ]
SolutionId [ INTEGER ]
Lang [ TEXT ]
NameTokenized [ TEXT ]
MethodParameter :
Id [ INTEGER ] primary_key
MethodId [ TEXT ]
Type [ TE... | 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; |
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