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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | domain string | problem string | question string | evidence string | db_id string | database_path string | gold_sql string | source_gold_sql string | source_gold_sql_sha256 string | gold_sql_overridden bool | grading_method string | source string | database_sha256 string | current_role string | dataset_release_id string | numeric_policy string | numeric_tolerance bool | grading_max_rows null | grading_max_bytes null | timeout_seconds null | streaming_set_grading null | grading_max_index_bytes null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
revisql-train:3 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Name the titles of the movies with the most ratings. | movie with the most rating refers to MAX(COUNT(ratings)); | movie_platform | ../databases/movie_platform.sqlite | SELECT m.movie_title FROM movies AS m JOIN ratings AS r ON m.movie_id = r.movie_id GROUP BY m.movie_id, m.movie_title HAVING COUNT(*) = (SELECT COUNT(*) FROM movies AS m JOIN ratings AS r ON m.movie_id = r.movie_id GROUP BY m.movie_id, m.movie_title ORDER BY COUNT(*) DESC LIMIT 1); | SELECT m.movie_title FROM movies AS m JOIN ratings AS r ON m.movie_id = r.movie_id GROUP BY m.movie_id, m.movie_title HAVING COUNT(*) = (SELECT COUNT(*) FROM movies AS m JOIN ratings AS r ON m.movie_id = r.movie_id GROUP BY m.movie_id, m.movie_title ORDER BY COUNT(*) DESC LIMIT 1); | a58b7161c60d5d4ee9e44ac1468e0136965fd6f1449d56ba9b8b60296accc731 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:19 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? | paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; | movie_platform | ../databases/movie_platform.sqlite | SELECT COUNT(DISTINCT user_id) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1 | SELECT COUNT(DISTINCT user_id) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1 | 723eeccbbec62c40037c2f59775ead75f90afeaac9dac40ad1fae6a746b01bac | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:33 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Among the lists created by user 4208563, which ones have the highest number of followers? Indicate the list ids, how many followers they have, and whether the users were a subscriber or not when they created the lists. | User 4208563 refers to user_id;highest number of followers refers to MAX(list_followers); user_subscriber = 1 means that the user was a subscriber when he created the list; user_subscriber = 0 means the user was not a subscriber when he created the list (to replace); return 1 if the user was a subscriber when the list ... | movie_platform | ../databases/movie_platform.sqlite | SELECT T2.list_id, T1.list_followers, T2.user_subscriber = 1 FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id AND T2.list_id = T2.list_id WHERE T2.user_id = 4208563 AND T1.list_followers = (SELECT MAX(T1.list_followers) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id AND... | SELECT T2.list_id, T1.list_followers, T2.user_subscriber = 1 FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id AND T2.list_id = T2.list_id WHERE T2.user_id = 4208563 AND T1.list_followers = (SELECT MAX(T1.list_followers) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id AND... | 2f3316b55225acb9d126861c4317aa70c4ce8bf855a07a9d603a95c0ba969c0d | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:47 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | What are the titles of the movies directed by Christopher Nolan that have received the highest number of 5 rating scores. | 5 rating scores refer to rating_score; Christopher Nolan refer to director_name | movie_platform | ../databases/movie_platform.sqlite | SELECT m.movie_title FROM movies AS m LEFT JOIN ratings AS r ON m.movie_id = r.movie_id AND r.rating_score = 5 WHERE m.director_name = 'Christopher Nolan' GROUP BY m.movie_id HAVING COUNT(CASE WHEN r.rating_score = 5 THEN 1 END) = (SELECT COUNT(CASE WHEN r.rating_score = 5 THEN 1 END) cnt FROM movies AS m LEFT JOIN rat... | SELECT m.movie_title FROM movies AS m LEFT JOIN ratings AS r ON m.movie_id = r.movie_id AND r.rating_score = 5 WHERE m.director_name = 'Christopher Nolan' GROUP BY m.movie_id HAVING COUNT(CASE WHEN r.rating_score = 5 THEN 1 END) = (SELECT COUNT(CASE WHEN r.rating_score = 5 THEN 1 END) cnt FROM movies AS m LEFT JOIN rat... | 742e09638685429b02b7276857ae471880d88cbf24ab6ed26552875f58297d8f | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:50 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | How many movie lists were still updated more than 10 years after it was created? | updated more than 10 years after it was created refers to list_update_timestamp_utc > (list_creation_timestamp_utc+10); | movie_platform | ../databases/movie_platform.sqlite | SELECT COUNT(*) FROM lists WHERE SUBSTR(list_update_timestamp_utc, 1, 4) - SUBSTR(list_creation_timestamp_utc, 1, 4) > 10 | SELECT COUNT(*) FROM lists WHERE SUBSTR(list_update_timestamp_utc, 1, 4) - SUBSTR(list_creation_timestamp_utc, 1, 4) > 10 | 0162c7e29613f0062234af82093ae321e51f815ab1e109db326b581285b6a4cd | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:76 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Which film got 1 like and 2 comments in user 58149469's critic? Indicate the movie titles. | user 58149469 refers to user_id = 58149469; critic with 1 like refers to critic_likes = 1; critic with 2 comments refers to critic_comments = 2; | movie_platform | ../databases/movie_platform.sqlite | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 58149469 AND T1.critic_likes = 1 AND T1.critic_comments = 2 | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 58149469 AND T1.critic_likes = 1 AND T1.critic_comments = 2 | cbff37c8f912b64f2962ab112c9740242e5c17211cdc73e4496a00a7fe1266e0 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:80 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Please list the movies rated by the user who created the movie list "250 Favourite Films". | 250 Favourite Films' is list_title; movies refers to movie_title; | movie_platform | ../databases/movie_platform.sqlite | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists AS T3 ON T3.user_id = T1.user_id WHERE T3.list_title = '250 Favourite Films' | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists AS T3 ON T3.user_id = T1.user_id WHERE T3.list_title = '250 Favourite Films' | e3ea7148b7fcd5953847201f71c8c7f3065f2f47aad0c0d53980b76699380b38 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:88 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Which of the films directed by Paul Thomas Anderson are the most popular among Mubi users? List the movie titles. | Paul Thomas Anderson is the director name; the most popular refers to Max(movie_popularity); films refers to movies; | movie_platform | ../databases/movie_platform.sqlite | SELECT movie_title FROM movies WHERE director_name = 'Paul Thomas Anderson' AND movie_popularity = (SELECT MAX(movie_popularity) FROM movies WHERE director_name = 'Paul Thomas Anderson') | SELECT movie_title FROM movies WHERE director_name = 'Paul Thomas Anderson' AND movie_popularity = (SELECT MAX(movie_popularity) FROM movies WHERE director_name = 'Paul Thomas Anderson') | df3f8b553f1dee6187c234decca4348b94fdec7e3b95dd89255e95ecd8f98134 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:92 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Please provide the titles of the lists with the most comments on the lists. | the most comments refers to Max(list_comments); | movie_platform | ../databases/movie_platform.sqlite | SELECT list_title FROM lists WHERE list_comments = (SELECT MAX(list_comments) FROM lists); | SELECT list_title FROM lists WHERE list_comments = (SELECT MAX(list_comments) FROM lists); | c68d6ed3cda0e1e0ab4d230df84bb6fe5e36d8c000e01878510e81d89fd53e4e | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:93 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Which film released in 2008 has the highest average rating score? List the movie titles. | film released in 2008 refers to movie_release_year = 2008; scored the highest refers to Max(AVG(rating_score)); film refers to movie; | movie_platform | ../databases/movie_platform.sqlite | SELECT m.movie_title FROM movies AS m JOIN ratings AS r ON r.movie_id = m.movie_id WHERE m.movie_release_year = 2008 GROUP BY m.movie_id HAVING AVG(r.rating_score) = (SELECT AVG(r.rating_score) FROM movies AS m JOIN ratings AS r ON r.movie_id = m.movie_id WHERE m.movie_release_year = 2008 GROUP BY m.movie_id ORDER BY A... | SELECT m.movie_title FROM movies AS m JOIN ratings AS r ON r.movie_id = m.movie_id WHERE m.movie_release_year = 2008 GROUP BY m.movie_id HAVING AVG(r.rating_score) = (SELECT AVG(r.rating_score) FROM movies AS m JOIN ratings AS r ON r.movie_id = m.movie_id WHERE m.movie_release_year = 2008 GROUP BY m.movie_id ORDER BY A... | c07fbddf1f192ba09e055b927a931bb1be3672a23e96125f11b7f4416519a3d5 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:95 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | How many users have more than 100 followers in the list created by users in 2009? | more than 100 followers refers to list_followers >100; list created by the user in 2009 refers to list_creation_date_utc = '2009'; | movie_platform | ../databases/movie_platform.sqlite | SELECT COUNT(DISTINCT T1.user_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers > 100 AND T1.list_creation_date_utc LIKE '2009%' | SELECT COUNT(DISTINCT T1.user_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers > 100 AND T1.list_creation_date_utc LIKE '2009%' | 5d025234c0c899195754fa78299eec8bd36ab4e02e6622fb6cce1b2e5a455f2b | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:106 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | What is the average score for the movie Versailles Rive-Gauche? | Versailles Rive-Gauche' is movie_title; average score refers to Avg(rating_score); | movie_platform | ../databases/movie_platform.sqlite | SELECT AVG(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title LIKE 'Versailles Rive-Gauche' | SELECT AVG(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title LIKE 'Versailles Rive-Gauche' | 03f37f1d68522ab8d7eade387ca6540c229d21622fce7078f3a2465049039772 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:107 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | Which films rated by user 59988436 has received 21 comments? Indicate the movie titles. | user 59988436 refers to user_id = 59988436; received 21 comments refers to critic_comments = 21; film refers to movie; | movie_platform | ../databases/movie_platform.sqlite | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 59988436 AND T1.critic_comments = 21 | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 59988436 AND T1.critic_comments = 21 | 4dca1017c6e00eb6ab5b02a4ae70c97e641d3a291debeeae3d8fa73fe1ab13b9 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:119 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | What's the number of users gave the movie "Downfall" a rating of "4"? | movie "Downfall" refers to movie_title = 'Downfall'; rating of "4" refers to rating_score = 4 | movie_platform | ../databases/movie_platform.sqlite | SELECT COUNT(DISTINCT T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Downfall' AND T1.rating_score = 4 | SELECT COUNT(DISTINCT T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Downfall' AND T1.rating_score = 4 | 6f8970ffc41092fa7efd44f46a1cc3e5a0c256cba8d2a5fc47e2cc4bbe84ca63 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:144 | movie_platform | Database Engine:
SQLite
Database Schema:
CREATE TABLE movies (
`movie_id` integer, -- ID related to the movie on Mubi.
`movie_title` text, -- Name of the movie.
`movie_release_year` integer, -- Release year of the movie.
`movie_url` text, -- URL to the movie page on Mubi.
`movie_title_language` tex... | For all list titles with at least 200 movies in the list, what is their average number of followers? | at least 200 movies in the list refers to list_movie_number >= 200; average number of followers refers to avg(list_followers) | movie_platform | ../databases/movie_platform.sqlite | SELECT AVG(list_followers) FROM lists WHERE list_movie_number >= 200 | SELECT AVG(list_followers) FROM lists WHERE list_movie_number >= 200 | 6bf1cca7564101a219249f4b85ea513deba95f06eee64c2f0fcba1374c2a8178 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | cd03bfa8c12445c40f46dcd69811d02fa3df917fbe54f4d886ac0f149c4004a9 | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:169 | book_publishing_company | Database Engine:
SQLite
Database Schema:
CREATE TABLE jobs (
`job_id` integer, -- job id. unique id number identifying the jobs.
`job_desc` text, -- job description. staff should be mentioned.
`min_lvl` integer, -- min level. min job level.
`max_lvl` integer, -- max level. max job level. level range fo... | List the title, price and publication date for all sales with 'ON invoice' payment terms. | publication date refers to pubdate; payment terms refers to payterms; payterms = 'ON invoice' | book_publishing_company | ../databases/book_publishing_company.sqlite | SELECT T2.title, T2.price, T2.pubdate FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id WHERE T1.payterms = 'ON invoice' | SELECT T2.title, T2.price, T2.pubdate FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id WHERE T1.payterms = 'ON invoice' | 88bcb1d2300d289853e0da24aef714a08a3ed84286490972e007b9d8b3b38d5e | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | b493a54214d7b224a6f2b9b22b0f651c98f0c345a91cdec10b94825d4d897f4d | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:222 | book_publishing_company | Database Engine:
SQLite
Database Schema:
CREATE TABLE jobs (
`job_id` integer, -- job id. unique id number identifying the jobs.
`job_desc` text, -- job description. staff should be mentioned.
`min_lvl` integer, -- min level. min job level.
`max_lvl` integer, -- max level. max job level. level range fo... | What's on the notes for the order happened on 1994/9/14? | order happened on refers to ord_date | book_publishing_company | ../databases/book_publishing_company.sqlite | SELECT DISTINCT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1994-09-14' | SELECT DISTINCT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1994-09-14' | ec240063439cb3d1663ffef0f657d6c809a4adcc622bf22b91d6421123657c59 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | b493a54214d7b224a6f2b9b22b0f651c98f0c345a91cdec10b94825d4d897f4d | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:245 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | What is the detailed product of the complaint filed by Diesel Galloway on 2014/7/3? | detailed product refers to "sub-product"; on 2014/7/3 refers to "Date received" = '2014-07-03'; | retail_complains | ../databases/retail_complains.sqlite | SELECT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' AND T2.`Date received` = '2014-07-03' | SELECT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' AND T2.`Date received` = '2014-07-03' | 904cdd5a268f8a921bed54727b8b1c80e99413b30de5894e647f85696d764bd7 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:248 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | What is the full name of the client whose complaint on 2017/3/27 was received by MICHAL? | full names = first, middle, last; on 2017/3/27 refers to "Date received" = '2017-03-27'; MICHAL refers to server = 'MICHAL'; | retail_complains | ../databases/retail_complains.sqlite | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.`Date received` = '2017-03-27' AND T2.server = 'MICHAL' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.`Date received` = '2017-03-27' AND T2.server = 'MICHAL' | 096ee37ac4f6b15db8ec996239912fc2d5a15b831052d4d95d5b8ff14949686a | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:265 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | What was the review context from Jacksonville on 2017/7/22? | Jacksonville refers to city = 'Jacksonville'; on 2017/7/22 refers to Date = '2017-07-22'; | retail_complains | ../databases/retail_complains.sqlite | SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22' | SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22' | 9fa3a4fd5cca07be57a515c56007757705d316bb8ba673f68149875de96b37ea | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:267 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | How many stars did "Eagle Capital" received in total from Little Rock on 2013/4/4? | Eagle Capital refers to Product = 'Eagle Capital'; Little Rock is a city; on 2013/4/4 refers to Date = '2013-04-04'; | retail_complains | ../databases/retail_complains.sqlite | SELECT SUM(`Stars`) AS total_stars FROM `reviews` r JOIN `district` d ON r.`district_id` = d.`district_id` WHERE r.`Product` = 'Eagle Capital' AND d.`city` = 'Little Rock' AND r.`Date` = '2013-04-04' | SELECT SUM(`Stars`) AS total_stars FROM `reviews` r JOIN `district` d ON r.`district_id` = d.`district_id` WHERE r.`Product` = 'Eagle Capital' AND d.`city` = 'Little Rock' AND r.`Date` = '2013-04-04' | 9885564aedcf4bfd157f7b6457d493418892d8fbcd2ee5bf8c2afa3766f20970 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:274 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | Which product got the most five stars, and how many? | most five stars refers to MAX(COUNT(stars = 5)); | retail_complains | ../databases/retail_complains.sqlite | SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T | SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T | e67faff7103791066f05543f38917ba80b01f527408285df9a17a4f429e6bfba | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:286 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | Find the number of service members who complained in Syracuse. | service members refers to client.client_id; Syracuse refers to city = 'Syracuse'; | retail_complains | ../databases/retail_complains.sqlite | SELECT COUNT(DISTINCT T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Servicemember' AND T1.city = 'Syracuse' | SELECT COUNT(DISTINCT T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Servicemember' AND T1.city = 'Syracuse' | 4b0ae63c366ddae0c1c15d6e65944fa2af2422a64a55effc758a150086eaa50f | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:315 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | What is the average age of Norwalk clients? | average age = AVG(age); Norwalk refers to city = 'Norwalk'; | retail_complains | ../databases/retail_complains.sqlite | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk' | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk' | a61c34a30cbad8a29e36a18072efe023da9afd4ca7dd130b297e12b2b0416fde | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:318 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | Which region does Noah Thompson live in? | retail_complains | ../databases/retail_complains.sqlite | SELECT s.Region FROM client c JOIN district d ON c.district_id = d.district_id JOIN state s ON d.state_abbrev = s.StateCode WHERE c.first = 'Noah' AND c.last = 'Thompson'; | SELECT s.Region FROM client c JOIN district d ON c.district_id = d.district_id JOIN state s ON d.state_abbrev = s.StateCode WHERE c.first = 'Noah' AND c.last = 'Thompson'; | bb79dfc0ad5aab1d6c4f15976ce6e6b014ed62680414247d9774b6ca45251100 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null | |
revisql-train:321 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | How long was Kendall Allen's complaint about her credit card? | how long refers to ser_time; credit card refers to Product = 'Credit Card'; | retail_complains | ../databases/retail_complains.sqlite | SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card' | SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card' | c13c0ee94704d522a3140b804b465132f833878a90936c3873c811af60fccbe1 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:330 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | List the full names of all clients who live in the Pacific division. | full name refers to first, middle, and last | retail_complains | ../databases/retail_complains.sqlite | SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific' | SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific' | 23aa10649384d7ed422458e6b460ff970c3ddd5fe1a43be88338e43e7914e094 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:333 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | What is the address of the client who made a complaint via postal mail on March 14, 2012? | address refers to address_1, address_2; via postal mail refers to Submitted via = 'Postal mail'; March 14 2012 refers to Date received = '2012-03-14' | retail_complains | ../databases/retail_complains.sqlite | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail' | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail' | 6d18e77039fcaf0fb1c0378662c88ac9edbd24328f041a381f83412dd2c26c67 | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
revisql-train:346 | retail_complains | Database Engine:
SQLite
Database Schema:
CREATE TABLE client (
`client_id` text, -- client id. unique id client number.
`sex` text, -- sex of client.
`day` integer, -- day of the birthday.
`month` integer, -- month of the birthday.
`year` integer, -- year when is born.
`age` integer, -- age. te... | List down the email of client whose complaint is type "PS". | retail_complains | ../databases/retail_complains.sqlite | SELECT DISTINCT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' | SELECT DISTINCT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' | 69ceea98e153d55736125dff869f7fae1bee6d442f8e35e93723432b47b883ae | false | set | ReViSQL/9fac371aa22019e9912dcbd6572e8fe8194d352a:bird-verified-train.json | 03dce545a321d5564f5ac1ccd123bd5948c90ef7b56253fea534e11235cbe8bc | paper_train | revisql-verified-v1 | diamond-numeric-v1 | false | null | null | null | null | null |
End of preview.
Text-to-SQL Recipe Data
The datasets the River text-to-SQL reinforcement-learning recipe trains and evaluates on, laid out the way its
setup data command reads them. The recipe checks every file against SHA-256 pins in its code, so use the
command rather than copying files by hand. From the recipe's directory (the text-to-sql example of River Recipes):
pip install '.[data]'
eval "$(python -m text_to_sql_recipe setup data)"
Contents
revisql-verified/: BIRD-Platinum training data.
dataset/: the ReViSQL authors' verified release of BIRD training tasks, with 2,064 training and 398 validation tasks. Each row carries the question, evidence, gold SQL, grading method and the task text the model sees (the database schema, the evidence and the question).hints/: one training hint per training task, with a binding to the exact prompt, gold query and database it was written for. The hints were written by Kimi K2.6 at temperature 0 from each task's question, evidence, schema and gold query.verifier/gate-policy.json: per database, the schema and the audited foreign-key status that the optional VeriEQL counterexample gate reads.subsets/bird-platinum-hard.json: the 689 BIRD-Platinum-Hard training tasks, the questions strong models most often failed on every attempt early in reinforcement-learning training (seescottfitz/BIRD-Platinum-Hard).databases/: BIRD's 69 training databases, unchanged.
arcwise/: Arcwise-Plat-SQL evaluation data.
- 498 evaluation tasks over the 11 BIRD Mini-Dev databases (
databases/). - The gold SQL is the edition the ReViSQL paper evaluated (
uiuc-kang-lab/text_to_sql_benchmarksat commitbef1f2e42b). - Questions 518 and 701 use result-preserving rewrites of their gold queries, because the canonical queries exceed the grading time limit.
release.json: every file with its size and SHA-256.
Sources and licences
This release is distributed under CC BY-SA 4.0, the licence of the data it derives from.
- BIRD (Li et al., NeurIPS 2023): the databases, questions and evidence. CC BY-SA 4.0.
- BIRD-Platinum (
uiuc-kang-lab/bird-platinum): corrected BIRD training annotations. CC BY-SA 4.0. The verified task release used here is ReViSQL's (Jin et al., arXiv 2603.20004). - Arcwise-Plat-SQL: Jin, Choi, Zhu and Kang, "Pervasive Annotation Errors Break Text-to-SQL Benchmarks and
Leaderboards" (VLDB 2026),
uiuc-kang-lab/text_to_sql_benchmarks. CC BY-SA 4.0. It builds on Arcwise's corrections of BIRD Mini-Dev. - Training hints and the gate policy: ours, under CC BY-SA 4.0.
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