Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/1sf/bird-sql-train-with-schema@588a1b73503e15374d85d554ba2769349962331f/train_with_schema.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
raise ValueError(
ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/1sf/bird-sql-train-with-schema@588a1b73503e15374d85d554ba2769349962331f/train_with_schema.json.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Bird SQL https://bird-bench.github.io/ train dataset with schema
Preview
[
{
"db_id": "movie_platform",
"question": "Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity.",
"evidence": "released in the year 1945 refers to movie_release_year = 1945;",
"SQL": "SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1",
"schema": {
"table_names_original": [
"lists",
"movies",
"ratings_users",
"lists_users",
"ratings"
],
"table_names": [
"lists",
"movies",
"ratings_users",
"lists_users",
"ratings"
],
"column_names_original": [
[
-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"
]
],
"column_names": [
[
-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"
]
],
"column_types": [
"text",
"integer",
"integer",
"text",
"integer",
"text",
"text",
"integer",
"text",
"integer",
"text",
"text",
"text",
"text",
"text",
"integer",
"text",
"integer",
"text",
"text",
"integer",
"text",
"text",
"text",
"text",
"integer",
"text",
"integer",
"integer",
"text",
"text",
"integer",
"integer",
"integer",
"integer",
"text",
"text",
"integer",
"integer",
"text",
"text",
"text",
"text",
"integer",
"integer",
"text",
"integer",
"text",
"text",
"integer",
"integer",
"integer",
"integer",
"integer",
"integer",
"integer"
]
}
},
...
]
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