The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
post_id: string
tier: string
original_data: struct<desc: string, play_count: int64, digg_count: int64, comment_count: int64, share_count: int64, (... 220 chars omitted)
child 0, desc: string
child 1, play_count: int64
child 2, digg_count: int64
child 3, comment_count: int64
child 4, share_count: int64
child 5, collect_count: int64
child 6, duration: int64
child 7, city: string
child 8, country_code: int64
child 9, music_title: string
child 10, music_author_name: string
child 11, poi_name: string
child 12, poi_category: string
child 13, challenges: string
child 14, user_verified: string
child 15, is_ad: string
analysis: struct<virality_analysis: string, content_category: string, audience_profile: string, cultural_insig (... 370 chars omitted)
child 0, virality_analysis: string
child 1, content_category: string
child 2, audience_profile: string
child 3, cultural_insight: string
child 4, engagement_prediction: string
child 5, engagement_ratios: struct<likes_to_plays: double, comments_to_likes: double, shares_to_likes: double, saves_to_likes: d (... 6 chars omitted)
child 0, likes_to_plays: double
child 1, comments_to_likes: double
child 2, shares_to_likes: double
child 3, saves_to_likes: double
child 6, content_category_detail: string
child 7, audience_profile_detail: string
child 8, shares_to_likes: double
child 9, comments_to_likes: double
child 10, likes_to_plays: double
child 11, saves_to_likes: double
child 12, audience_profile_explicit: string
model: string
tokens_used: int64
worker_id: int64
-- schema metadata --
huggingface: '{"info": {"features": {"post_id": {"dtype": "string", "_typ' + 2085
to
{'post_id': Value('string'), 'original_data': {'id': Value('int64'), 'desc': Value('string'), 'create_time': Value('int64'), 'play_count': Value('int64'), 'digg_count': Value('int64'), 'comment_count': Value('int64'), 'share_count': Value('int64'), 'collect_count': Value('int64'), 'duration': Value('int64'), 'country_code': Value('int64'), 'city': Value('string'), 'music_title': Value('string'), 'music_author_name': Value('string'), 'poi_name': Value('string'), 'poi_category': Value('string'), 'challenges': Value('string'), 'user_id': Value('int64'), 'user_verified': Value('string'), 'is_ad': Value('string')}, 'analysis': {'virality_analysis': Value('string'), 'content_category': Value('string'), 'audience_profile': Value('string'), 'cultural_insight': Value('string'), 'engagement_prediction': Value('string'), 'engagement_ratios': {'likes_to_plays': Value('float64'), 'comments_to_likes': Value('float64'), 'shares_to_likes': Value('float64'), 'saves_to_likes': Value('float64'), 'comment_to_likes': Value('float64')}, 'raw_response': Value('string')}, 'model': Value('string'), 'tokens_used': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
post_id: string
tier: string
original_data: struct<desc: string, play_count: int64, digg_count: int64, comment_count: int64, share_count: int64, (... 220 chars omitted)
child 0, desc: string
child 1, play_count: int64
child 2, digg_count: int64
child 3, comment_count: int64
child 4, share_count: int64
child 5, collect_count: int64
child 6, duration: int64
child 7, city: string
child 8, country_code: int64
child 9, music_title: string
child 10, music_author_name: string
child 11, poi_name: string
child 12, poi_category: string
child 13, challenges: string
child 14, user_verified: string
child 15, is_ad: string
analysis: struct<virality_analysis: string, content_category: string, audience_profile: string, cultural_insig (... 370 chars omitted)
child 0, virality_analysis: string
child 1, content_category: string
child 2, audience_profile: string
child 3, cultural_insight: string
child 4, engagement_prediction: string
child 5, engagement_ratios: struct<likes_to_plays: double, comments_to_likes: double, shares_to_likes: double, saves_to_likes: d (... 6 chars omitted)
child 0, likes_to_plays: double
child 1, comments_to_likes: double
child 2, shares_to_likes: double
child 3, saves_to_likes: double
child 6, content_category_detail: string
child 7, audience_profile_detail: string
child 8, shares_to_likes: double
child 9, comments_to_likes: double
child 10, likes_to_plays: double
child 11, saves_to_likes: double
child 12, audience_profile_explicit: string
model: string
tokens_used: int64
worker_id: int64
-- schema metadata --
huggingface: '{"info": {"features": {"post_id": {"dtype": "string", "_typ' + 2085
to
{'post_id': Value('string'), 'original_data': {'id': Value('int64'), 'desc': Value('string'), 'create_time': Value('int64'), 'play_count': Value('int64'), 'digg_count': Value('int64'), 'comment_count': Value('int64'), 'share_count': Value('int64'), 'collect_count': Value('int64'), 'duration': Value('int64'), 'country_code': Value('int64'), 'city': Value('string'), 'music_title': Value('string'), 'music_author_name': Value('string'), 'poi_name': Value('string'), 'poi_category': Value('string'), 'challenges': Value('string'), 'user_id': Value('int64'), 'user_verified': Value('string'), 'is_ad': Value('string')}, 'analysis': {'virality_analysis': Value('string'), 'content_category': Value('string'), 'audience_profile': Value('string'), 'cultural_insight': Value('string'), 'engagement_prediction': Value('string'), 'engagement_ratios': {'likes_to_plays': Value('float64'), 'comments_to_likes': Value('float64'), 'shares_to_likes': Value('float64'), 'saves_to_likes': Value('float64'), 'comment_to_likes': Value('float64')}, 'raw_response': Value('string')}, 'model': Value('string'), 'tokens_used': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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