Dataset Viewer
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
schema_version: int64
repo_id: string
books: struct<修真聊天群: struct<parts: struct<1: struct<status: string, root: string, files: struct<v (... 577902 chars omitted)
child 0, 修真聊天群: struct<parts: struct<1: struct<status: string, root: string, files: struct<video: struct<path: strin (... 37373 chars omitted)
child 0, parts: struct<1: struct<status: string, root: string, files: struct<video: struct<path: string, bytes: int6 (... 37289 chars omitted)
child 0, 1: struct<status: string, root: string, files: struct<video: struct<path: string, bytes: int64, sha256: (... 878 chars omitted)
child 0, status: string
child 1, root: string
child 2, files: struct<video: struct<path: string, bytes: int64, sha256: string>, subtitle: struct<path: string, byt (... 27 chars omitted)
child 0, video: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 1, subtitle: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, manifest: struct<project: string, book_title: string, part_number: int64, start_chapter: int64, end_chapter: i (... 495 chars omitted)
child 0, project: string
child 1,
...
child 9, clean_effects: int64
child 10, attached_pic: int64
child 11, timed_thumbnails: int64
child 12, non_diegetic: int64
child 13, captions: int64
child 14, descriptions: int64
child 15, metadata: int64
child 16, dependent: int64
child 17, still_image: int64
child 38, tags: struct<language: string, handler_name: string, vendor_id: string, encoder: string>
child 0, language: string
child 1, handler_name: string
child 2, vendor_id: string
child 3, encoder: string
child 39, sample_fmt: string
child 40, sample_rate: string
child 41, channels: int64
child 42, channel_layout: string
child 43, bits_per_sample: int64
child 44, initial_padding: int64
format: struct<filename: string, nb_streams: int64, nb_programs: int64, format_name: string, format_long_nam (... 202 chars omitted)
child 0, filename: string
child 1, nb_streams: int64
child 2, nb_programs: int64
child 3, format_name: string
child 4, format_long_name: string
child 5, start_time: string
child 6, duration: string
child 7, size: string
child 8, bit_rate: string
child 9, probe_score: int64
child 10, tags: struct<major_brand: string, minor_version: string, compatible_brands: string, encoder: string>
child 0, major_brand: string
child 1, minor_version: string
child 2, compatible_brands: string
child 3, encoder: string
to
{'streams': List({'index': Value('int64'), 'codec_name': Value('string'), 'codec_long_name': Value('string'), 'profile': Value('string'), 'codec_type': Value('string'), 'codec_tag_string': Value('string'), 'codec_tag': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'coded_width': Value('int64'), 'coded_height': Value('int64'), 'closed_captions': Value('int64'), 'film_grain': Value('int64'), 'has_b_frames': Value('int64'), 'sample_aspect_ratio': Value('string'), 'display_aspect_ratio': Value('string'), 'pix_fmt': Value('string'), 'level': Value('int64'), 'color_range': Value('string'), 'color_space': Value('string'), 'chroma_location': Value('string'), 'field_order': Value('string'), 'refs': Value('int64'), 'is_avc': Value('string'), 'nal_length_size': Value('string'), 'id': Value('string'), 'r_frame_rate': Value('string'), 'avg_frame_rate': Value('string'), 'time_base': Value('string'), 'start_pts': Value('int64'), 'start_time': Value('string'), 'duration_ts': Value('int64'), 'duration': Value('string'), 'bit_rate': Value('string'), 'bits_per_raw_sample': Value('string'), 'nb_frames': Value('string'), 'extradata_size': Value('int64'), 'disposition': {'default': Value('int64'), 'dub': Value('int64'), 'original': Value('int64'), 'comment': Value('int64'), 'lyrics': Value('int64'), 'karaoke': Value('int64'), 'forced': Value('int64'), 'hearing_impaired': Value('int64'), 'visual_impaired': Value('int64'), 'clean_effects': Value('int64'), 'attached_pic': Value('int64'), 'timed_thumbnails': Value('int64'), 'non_diegetic': Value('int64'), 'captions': Value('int64'), 'descriptions': Value('int64'), 'metadata': Value('int64'), 'dependent': Value('int64'), 'still_image': Value('int64')}, 'tags': {'language': Value('string'), 'handler_name': Value('string'), 'vendor_id': Value('string'), 'encoder': Value('string')}, 'sample_fmt': Value('string'), 'sample_rate': Value('string'), 'channels': Value('int64'), 'channel_layout': Value('string'), 'bits_per_sample': Value('int64'), 'initial_padding': Value('int64')}), 'format': {'filename': Value('string'), 'nb_streams': Value('int64'), 'nb_programs': Value('int64'), 'format_name': Value('string'), 'format_long_name': Value('string'), 'start_time': Value('string'), 'duration': Value('string'), 'size': Value('string'), 'bit_rate': Value('string'), 'probe_score': Value('int64'), 'tags': {'major_brand': Value('string'), 'minor_version': Value('string'), 'compatible_brands': Value('string'), 'encoder': Value('string')}}}
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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
repo_id: string
books: struct<修真聊天群: struct<parts: struct<1: struct<status: string, root: string, files: struct<v (... 577902 chars omitted)
child 0, 修真聊天群: struct<parts: struct<1: struct<status: string, root: string, files: struct<video: struct<path: strin (... 37373 chars omitted)
child 0, parts: struct<1: struct<status: string, root: string, files: struct<video: struct<path: string, bytes: int6 (... 37289 chars omitted)
child 0, 1: struct<status: string, root: string, files: struct<video: struct<path: string, bytes: int64, sha256: (... 878 chars omitted)
child 0, status: string
child 1, root: string
child 2, files: struct<video: struct<path: string, bytes: int64, sha256: string>, subtitle: struct<path: string, byt (... 27 chars omitted)
child 0, video: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 1, subtitle: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, manifest: struct<project: string, book_title: string, part_number: int64, start_chapter: int64, end_chapter: i (... 495 chars omitted)
child 0, project: string
child 1,
...
child 9, clean_effects: int64
child 10, attached_pic: int64
child 11, timed_thumbnails: int64
child 12, non_diegetic: int64
child 13, captions: int64
child 14, descriptions: int64
child 15, metadata: int64
child 16, dependent: int64
child 17, still_image: int64
child 38, tags: struct<language: string, handler_name: string, vendor_id: string, encoder: string>
child 0, language: string
child 1, handler_name: string
child 2, vendor_id: string
child 3, encoder: string
child 39, sample_fmt: string
child 40, sample_rate: string
child 41, channels: int64
child 42, channel_layout: string
child 43, bits_per_sample: int64
child 44, initial_padding: int64
format: struct<filename: string, nb_streams: int64, nb_programs: int64, format_name: string, format_long_nam (... 202 chars omitted)
child 0, filename: string
child 1, nb_streams: int64
child 2, nb_programs: int64
child 3, format_name: string
child 4, format_long_name: string
child 5, start_time: string
child 6, duration: string
child 7, size: string
child 8, bit_rate: string
child 9, probe_score: int64
child 10, tags: struct<major_brand: string, minor_version: string, compatible_brands: string, encoder: string>
child 0, major_brand: string
child 1, minor_version: string
child 2, compatible_brands: string
child 3, encoder: string
to
{'streams': List({'index': Value('int64'), 'codec_name': Value('string'), 'codec_long_name': Value('string'), 'profile': Value('string'), 'codec_type': Value('string'), 'codec_tag_string': Value('string'), 'codec_tag': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'coded_width': Value('int64'), 'coded_height': Value('int64'), 'closed_captions': Value('int64'), 'film_grain': Value('int64'), 'has_b_frames': Value('int64'), 'sample_aspect_ratio': Value('string'), 'display_aspect_ratio': Value('string'), 'pix_fmt': Value('string'), 'level': Value('int64'), 'color_range': Value('string'), 'color_space': Value('string'), 'chroma_location': Value('string'), 'field_order': Value('string'), 'refs': Value('int64'), 'is_avc': Value('string'), 'nal_length_size': Value('string'), 'id': Value('string'), 'r_frame_rate': Value('string'), 'avg_frame_rate': Value('string'), 'time_base': Value('string'), 'start_pts': Value('int64'), 'start_time': Value('string'), 'duration_ts': Value('int64'), 'duration': Value('string'), 'bit_rate': Value('string'), 'bits_per_raw_sample': Value('string'), 'nb_frames': Value('string'), 'extradata_size': Value('int64'), 'disposition': {'default': Value('int64'), 'dub': Value('int64'), 'original': Value('int64'), 'comment': Value('int64'), 'lyrics': Value('int64'), 'karaoke': Value('int64'), 'forced': Value('int64'), 'hearing_impaired': Value('int64'), 'visual_impaired': Value('int64'), 'clean_effects': Value('int64'), 'attached_pic': Value('int64'), 'timed_thumbnails': Value('int64'), 'non_diegetic': Value('int64'), 'captions': Value('int64'), 'descriptions': Value('int64'), 'metadata': Value('int64'), 'dependent': Value('int64'), 'still_image': Value('int64')}, 'tags': {'language': Value('string'), 'handler_name': Value('string'), 'vendor_id': Value('string'), 'encoder': Value('string')}, 'sample_fmt': Value('string'), 'sample_rate': Value('string'), 'channels': Value('int64'), 'channel_layout': Value('string'), 'bits_per_sample': Value('int64'), 'initial_padding': Value('int64')}), 'format': {'filename': Value('string'), 'nb_streams': Value('int64'), 'nb_programs': Value('int64'), 'format_name': Value('string'), 'format_long_name': Value('string'), 'start_time': Value('string'), 'duration': Value('string'), 'size': Value('string'), 'bit_rate': Value('string'), 'probe_score': Value('int64'), 'tags': {'major_brand': Value('string'), 'minor_version': Value('string'), 'compatible_brands': Value('string'), 'encoder': Value('string')}}}
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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