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
video_id: string
keyframe: string
image_path: string
time_span: list<item: int64>
child 0, item: int64
text: string
regions: list<item: struct<region_id: string, points: list<item: list<item: double>>, bbox_xyxy: list<item: i (... 565 chars omitted)
child 0, item: struct<region_id: string, points: list<item: list<item: double>>, bbox_xyxy: list<item: int64>, crop (... 553 chars omitted)
child 0, region_id: string
child 1, points: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, bbox_xyxy: list<item: int64>
child 0, item: int64
child 3, crop_bbox_xyxy: list<item: int64>
child 0, item: int64
child 4, polygon_area: double
child 5, lines: list<item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: do (... 233 chars omitted)
child 0, item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: double>>, bbo (... 221 chars omitted)
child 0, line_id: int64
child 1, text: string
child 2, confidence: double
child 3, points: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, bbox_xyxy: list<item: int64>
child 0, item: int64
child 5, polygon_area: double
child 6, detections: list<it
...
_xyxy: list<item: int64>
child 0, item: int64
child 4, points: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
words: list<item: struct<word_id: int64, region_id: string, text: string, bbox_xyxy: list<item: int64>, poi (... 36 chars omitted)
child 0, item: struct<word_id: int64, region_id: string, text: string, bbox_xyxy: list<item: int64>, points: list<i (... 24 chars omitted)
child 0, word_id: int64
child 1, region_id: string
child 2, text: string
child 3, bbox_xyxy: list<item: int64>
child 0, item: int64
child 4, points: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
fragments: list<item: struct<video_id: string, time_span: list<item: int64>, text: string, fragment_id: string, (... 75 chars omitted)
child 0, item: struct<video_id: string, time_span: list<item: int64>, text: string, fragment_id: string, bbox: stru (... 63 chars omitted)
child 0, video_id: string
child 1, time_span: list<item: int64>
child 0, item: int64
child 2, text: string
child 3, fragment_id: string
child 4, bbox: struct<x_min: double, y_min: double, x_max: double, y_max: double>
child 0, x_min: double
child 1, y_min: double
child 2, x_max: double
child 3, y_max: double
tracks: list<item: null>
child 0, item: null
to
{'video_id': Value('string'), 'time_span': List(Value('int64')), 'fragments': List({'video_id': Value('string'), 'time_span': List(Value('int64')), 'text': Value('string'), 'fragment_id': Value('string'), 'bbox': {'x_min': Value('float64'), 'y_min': Value('float64'), 'x_max': Value('float64'), 'y_max': Value('float64')}}), 'tracks': List(Value('null'))}
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/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 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
video_id: string
keyframe: string
image_path: string
time_span: list<item: int64>
child 0, item: int64
text: string
regions: list<item: struct<region_id: string, points: list<item: list<item: double>>, bbox_xyxy: list<item: i (... 565 chars omitted)
child 0, item: struct<region_id: string, points: list<item: list<item: double>>, bbox_xyxy: list<item: int64>, crop (... 553 chars omitted)
child 0, region_id: string
child 1, points: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, bbox_xyxy: list<item: int64>
child 0, item: int64
child 3, crop_bbox_xyxy: list<item: int64>
child 0, item: int64
child 4, polygon_area: double
child 5, lines: list<item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: do (... 233 chars omitted)
child 0, item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: double>>, bbo (... 221 chars omitted)
child 0, line_id: int64
child 1, text: string
child 2, confidence: double
child 3, points: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, bbox_xyxy: list<item: int64>
child 0, item: int64
child 5, polygon_area: double
child 6, detections: list<it
...
_xyxy: list<item: int64>
child 0, item: int64
child 4, points: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
words: list<item: struct<word_id: int64, region_id: string, text: string, bbox_xyxy: list<item: int64>, poi (... 36 chars omitted)
child 0, item: struct<word_id: int64, region_id: string, text: string, bbox_xyxy: list<item: int64>, points: list<i (... 24 chars omitted)
child 0, word_id: int64
child 1, region_id: string
child 2, text: string
child 3, bbox_xyxy: list<item: int64>
child 0, item: int64
child 4, points: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
fragments: list<item: struct<video_id: string, time_span: list<item: int64>, text: string, fragment_id: string, (... 75 chars omitted)
child 0, item: struct<video_id: string, time_span: list<item: int64>, text: string, fragment_id: string, bbox: stru (... 63 chars omitted)
child 0, video_id: string
child 1, time_span: list<item: int64>
child 0, item: int64
child 2, text: string
child 3, fragment_id: string
child 4, bbox: struct<x_min: double, y_min: double, x_max: double, y_max: double>
child 0, x_min: double
child 1, y_min: double
child 2, x_max: double
child 3, y_max: double
tracks: list<item: null>
child 0, item: null
to
{'video_id': Value('string'), 'time_span': List(Value('int64')), 'fragments': List({'video_id': Value('string'), 'time_span': List(Value('int64')), 'text': Value('string'), 'fragment_id': Value('string'), 'bbox': {'x_min': Value('float64'), 'y_min': Value('float64'), 'x_max': Value('float64'), 'y_max': Value('float64')}}), 'tracks': List(Value('null'))}
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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