1sf/bird-sql-train-with-schema huggingface dataset:
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: How many paying subscribers gave a rating to the movie "One Flew Over the Cuckoo's Nest"?
Evidence: paying subscribers refer to user_has_payment_method = 1; movie "One Flew Over the Cuckoo's Nest" refers to movie_id = 'One Flew Over the Cuckoo''s Nest'
SQL: SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'One Flew Over the Cuckoo''s Nest' AND T3.user_has_payment_method = 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: For the lists that got more than 3000 followers, how many did the users who created those lists are paying subscribers?
Evidence: got more than 3000 followers refers to list_followers > 3000; paying subscribers refer to user_has_payment_method = 1
SQL: SELECT COUNT(T1.user_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers > 3000 AND T1.user_has_payment_method = 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Which 1988 movie got the most ratings?
Evidence: 1988 movie refers to movie_release_year = '1998'; most ratings refers to MAX(rating_score)
SQL: SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year = 1988 ORDER BY T1.rating_score DESC LIMIT 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: For all the movies that were released in 1995, how many lower than 3 ratings did the most popularity movie had?
Evidence: released in 1995 refers to movie_release_year = '1995'; lower than 3 ratings refers to rating_score <3; most popularity movie refers to MAX(movie_popularity)
SQL: SELECT COUNT(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score < 3 AND T2.movie_release_year = 1995 AND T2.movie_popularity = ( SELECT MAX(movie_popularity) FROM movies WHERE movie_release_year = 1995 )
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: What is the percentage of users gave "5" to the movie "Go Go Tales"?
Evidence: movie "Go Go Tales" refers to movie_title = 'Go Go Tales'; gave "5" refers to rating_score = 5; percentage refers to DIVIDE(COUNT(rating_score = 5),COUNT(rating_score))*100
SQL: SELECT CAST(SUM(CASE WHEN T1.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Go Go Tales'
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Give the percentage of subscribers who rated who rated the movie "G.I. Jane".
Evidence: movie "G.I. Jane" refers to movie_title = 'G.I. Jane'; subscribers refers to user_subscriber = 1; percentage refers to DIVIDE(COUNT(user_subscriber = 1),COUNT(user_subscriber))*100
SQL: SELECT CAST(SUM(CASE WHEN T3.user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'G.I. Jane'
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: For all the users who gave "A Shot in the Dark" a rating, how many percent of them is a paying subscriber?
Evidence: "A Shot in the Dark" refers to movie_title = 'A Shot in the Dark'; paying subscriber refers to user_has_payment_method = 1; percentage refers to DIVIDE(COUNT(user_has_payment_method = 1),COUNT(user_has_payment_method))*100
SQL: SELECT CAST(SUM(CASE WHEN T1.user_has_payment_method = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'A Shot in the Dark'
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Name all the list titles created by user 4208563.
Evidence: user 4208563 refers to user_id = 4208563
SQL: SELECT list_title FROM lists WHERE user_id LIKE 4208563
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Among the lists created in 2016, which is the list that was updated most recently.
Evidence: created in 2016 refers to list_creation_timestamp_utc like '2016%'; updated most recently refers to MAX(list_update_timestamp_utc)
SQL: SELECT list_title FROM lists WHERE strftime('%Y', list_update_timestamp_utc) = '2016' ORDER BY list_update_timestamp_utc DESC LIMIT 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: What is the percentage of list created by user who was a subscriber when he created the list?
Evidence: was a subscriber refers to user_subscriber = 1; percentage refers to DIVIDE(COUNT(user_subscriber = 1),COUNT(list_id))
SQL: SELECT CAST(SUM(CASE WHEN user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(list_id) FROM lists_users
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Name all lists created by a user who was a subcriber when created the list.
Evidence: was a subscriber refers to user_subscriber = 1
SQL: SELECT DISTINCT T2.list_id FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T1.user_subscriber = 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Provide list titles created by user who are eligible for trial when he created the list.
Evidence: eligible for trial refers to user_eligible_for_trial = 1
SQL: SELECT DISTINCT T2.list_title FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T1.user_eligible_for_trial = 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: Among the lists with at least one follower, how many were created by user who was subscriber when created the list?
Evidence: lists with at least one follower refers to list_followers > = 1; was a subscriber refers to user_subscriber = 1
SQL: SELECT COUNT(T1.list_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers >= 1 AND T1.user_subscriber = 1
Database: movie_platform
Tables: lists, movies, ratings_users, lists_users, ratings
Columns (table index, column name): -1, *, 0, user_id, 0, list_id, 0, list_title, 0, list_movie_number, 0, list_update_timestamp_utc, 0, list_creation_timestamp_utc, 0, list_followers, 0, list_url, 0, list_comments, 0, list_description, 0, list_cover_image_url, 0, list_first_image_url, 0, list_second_image_url, 0, list_third_image_url, 1, movie_id, 1, movie_title, 1, movie_release_year, 1, movie_url, 1, movie_title_language, 1, movie_popularity, 1, movie_image_url, 1, director_id, 1, director_name, 1, director_url, 2, user_id, 2, rating_date_utc, 2, user_trialist, 2, user_subscriber, 2, user_avatar_image_url, 2, user_cover_image_url, 2, user_eligible_for_trial, 2, user_has_payment_method, 3, user_id, 3, list_id, 3, list_update_date_utc, 3, list_creation_date_utc, 3, user_trialist, 3, user_subscriber, 3, user_avatar_image_url, 3, user_cover_image_url, 3, user_eligible_for_trial, 3, user_has_payment_method, 4, movie_id, 4, rating_id, 4, rating_url, 4, rating_score, 4, rating_timestamp_utc, 4, critic, 4, critic_likes, 4, critic_comments, 4, user_id, 4, user_trialist, 4, user_subscriber, 4, user_eligible_for_trial, 4, user_has_payment_method
Question: For all list titles with at least 200 movies in the list, what is their average number of followers?
Evidence: at least 200 movies in the list refers to list_movie_number > 200; average number of followers refers to avg(list_followers)
SQL: SELECT AVG(list_followers) FROM lists WHERE list_movie_number > 200