simone-papicchio/Think2SQL-7B
Text Generation • 8B • Updated • 15 • 9
Datasets:
db_id stringclasses 69
values | question stringlengths 24 325 | evidence stringlengths 0 673 | SQL stringlengths 23 804 | difficulty stringclasses 1
value | question_id int64 0 9.43k | sql_constructs listlengths 2 17 | sql_complexity int64 2 46 | sql_complexity_buckets stringclasses 3
values | sqlglot_schema stringclasses 69
values | table_in_sql listlengths 1 6 | column_in_sql listlengths 1 25 | columns_used_to_join_in_sql listlengths 0 10 | schema dict | schema_no_exp dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
movie_platform | Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. | released in the year 1945 refers to movie_release_year = 1945; | SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1 | na | 0 | [
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies"
] | [
"movies.movie_popularity",
"movies.movie_release_year",
"movies.movie_title"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | State the most popular movie? When was it released and who is the director for the movie? | most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; | SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1 | na | 1 | [
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies"
] | [
"movies.director_name",
"movies.movie_popularity",
"movies.movie_release_year",
"movies.movie_title"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the name of the longest movie title? When was it released? | longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; | SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1 | na | 2 | [
"SELECT",
"ORDER BY",
"LIMIT",
"LENGTH",
"FROM",
"DESC"
] | 6 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies"
] | [
"movies.movie_popularity",
"movies.movie_release_year",
"movies.movie_title"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | Name the movie with the most ratings. | movie with the most rating refers to MAX(SUM(rating_score)); | SELECT movie_title FROM movies GROUP BY movie_title ORDER BY COUNT(movie_title) DESC LIMIT 1 | na | 3 | [
"GROUP BY",
"SELECT",
"ORDER BY",
"LIMIT",
"COUNT",
"FROM",
"DESC"
] | 7 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies"
] | [
"movies.movie_title"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the average number of Mubi users who love movies directed by Stanley Kubrick? | average = AVG(movie_popularity); number of Mubi users who loves the movie refers to movie_popularity; | SELECT AVG(movie_popularity) FROM movies WHERE director_name = 'Stanley Kubrick' | na | 4 | [
"SELECT",
"FROM",
"AVG"
] | 3 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies"
] | [
"movies.director_name",
"movies.movie_popularity"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the average rating for movie titled 'When Will I Be Loved'? | average rating = DIVIDE((SUM(rating_score where movie_title = 'When Will I Be Loved')), COUNT(rating_score)); | SELECT AVG(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'When Will I Be Loved' | na | 5 | [
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_title",
"ratings.movie_id",
"ratings.rating_score"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the user avatar url for user 41579158? What is the latest movie rated by him / her? | user avatar url refers to user_avatar_image_url; latest movie rated refers to latest rating_date; | SELECT T3.user_avatar_image_url, T3.rating_date_utc FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T3.user_id = T2.user_id WHERE T3.user_id = 41579158 ORDER BY T3.rating_date_utc DESC LIMIT 1 | na | 6 | [
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 12 | medium | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings",
"ratings_users"
] | [
"movies.movie_id",
"ratings.movie_id",
"ratings.user_id",
"ratings_users.rating_date_utc",
"ratings_users.user_avatar_image_url",
"ratings_users.user_id"
] | [
"movies.movie_id",
"ratings.movie_id",
"ratings.user_id",
"ratings_users.user_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the percentage of the ratings were rated by user who was a subcriber? | user is a subscriber refers to user_subscriber = 1; percentage of ratings = DIVIDE(SUM(user_subscriber = 1), SUM(rating_score)) as percent; | SELECT CAST(SUM(CASE WHEN user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings | na | 7 | [
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"CAST",
"COUNT",
"FROM"
] | 8 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"ratings"
] | [
"ratings.user_subscriber"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | List all movie title rated in April 2020 from user who was a trialist. | movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; | SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%' | na | 8 | [
"AS",
"AND",
"SELECT",
"LIKE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 9 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_title",
"ratings.movie_id",
"ratings.rating_timestamp_utc",
"ratings.user_trialist"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | List ther users who gave the worst rating for movie 'Love Will Tear Us Apart'. | worst rating refers to rating_score = 1; | SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 1 | na | 9 | [
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_title",
"ratings.movie_id",
"ratings.rating_score",
"ratings.user_id"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. | best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; | SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5 | na | 10 | [
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_popularity",
"movies.movie_title",
"ratings.movie_id",
"ratings.rating_score"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above. | ratings in year 2020 refers to rating_timestamp_utc like '%2020%'; rating_score > = 4; | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4 | na | 11 | [
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"SUBSTR",
"CAST",
"FROM"
] | 13 | medium | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_title",
"ratings.movie_id",
"ratings.rating_timestamp_utc"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. | movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; | SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL | na | 12 | [
"AS",
"SELECT",
"NULL",
"INNER JOIN",
"ON",
"NOT",
"IS",
"FROM"
] | 9 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_title",
"ratings.critic",
"ratings.movie_id",
"ratings.rating_score",
"ratings.user_id"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | For movie titled 'Welcome to the Dollhouse', how many percentage of the ratings were rated with highest score. | rated with highest score refers to rating_score = 5; percentage = MULTIPLY(DIVIDE(SUM(rating_score = 5), COUNT(rating_score)), 100) | SELECT CAST(SUM(CASE WHEN T2.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Welcome to the Dollhouse' | na | 13 | [
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 12 | medium | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_title",
"ratings.movie_id",
"ratings.rating_score"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the percentage of rated movies were released in year 2021? | percentage = DIVIDE(SUM(movie_release_year = 2021), COUNT(rating_id)) as percent; movies released in year 2021 refers to movie_release_year = 2021; | SELECT CAST(SUM(CASE WHEN T1.movie_release_year = 2021 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id | na | 14 | [
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 12 | medium | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies",
"ratings"
] | [
"movies.movie_id",
"movies.movie_release_year",
"ratings.movie_id"
] | [
"movies.movie_id",
"ratings.movie_id"
] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | Who is the director of the movie Sex, Drink and Bloodshed? | Sex, Drink and Bloodshed refers to movie title = 'Sex, Drink and Bloodshed'; | SELECT director_name FROM movies WHERE movie_title = 'Sex, Drink and Bloodshed' | na | 15 | [
"and",
"SELECT",
"FROM"
] | 3 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"movies"
] | [
"movies.director_name",
"movies.movie_title"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What is the name of the most followed list? | most followed list refers to MAX(list_followers); | SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1 | na | 16 | [
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"lists"
] | [
"lists.list_followers",
"lists.list_title"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
movie_platform | What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? | URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; | SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1 | na | 17 | [
"AND",
"SELECT",
"LIKE",
"LIMIT",
"ORDER BY",
"DESC",
"BETWEEN",
"FROM"
] | 9 | simple | {"lists": {"user_id": "INTEGER", "list_id": "INTEGER", "list_title": "TEXT", "list_movie_number": "INTEGER", "list_update_timestamp_utc": "TEXT", "list_creation_timestamp_utc": "TEXT", "list_followers": "INTEGER", "list_url": "TEXT", "list_comments": "INTEGER", "list_description": "TEXT", "list_cover_image_url": "TEXT"... | [
"lists"
] | [
"lists.list_followers",
"lists.list_update_timestamp_utc",
"lists.list_url"
] | [] | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER -- example: ['88260493', '45204418'],\n\tlist_id INTEGER NOT NULL -- example: ['2', '1'],\n\tlist_title TEXT -- example: ['Films that made your kid sister cry', 'Headscratchers'],\n\tlist_movie_number INTEGER -- example: ['5', '3'],\n\tlist_update_timestamp_utc T... | {
"schema": "\nCREATE TABLE lists (\n\tuser_id INTEGER, \n\tlist_id INTEGER NOT NULL, \n\tlist_title TEXT, \n\tlist_movie_number INTEGER, \n\tlist_update_timestamp_utc TEXT, \n\tlist_creation_timestamp_utc TEXT, \n\tlist_followers INTEGER, \n\tlist_url TEXT, \n\tlist_comments INTEGER, \n\tlist_description TEXT, \n\tl... |
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Dataset
This dataset is a polished version of the BIRD dataset. It was introduced in the paper Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL.
It has been used to train the reasoning Text2SQL model simone-papicchio/Think2SQL-7B.
Please refer to the paper for further details.
License: CC BY-SA 4.0
Citation
@misc{papicchio2025think2sqlreinforcellmreasoning,
title={Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL},
author={Simone Papicchio and Simone Rossi and Luca Cagliero and Paolo Papotti},
year={2025},
eprint={2504.15077},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2504.15077},
}
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