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
json: struct<annotations: list<item: struct<areas: list<item: double>, bboxes: list<item: list<item: double>>, category_id: int64, height: int64, id: int64, iscrowd: int64, length: int64, segmentations: list<item: list<item: list<item: double>>>, video_id: int64, width: int64>>, categories: list<item: struct<id: int64, name: string, supercategory: null>>, info: struct<contributor: string, description: string, url: string, version: string, year: int64>, licenses: list<item: null>, videos: list<item: struct<date_captured: string, file_names: list<item: string>, height: int64, id: int64, length: int64, license: int64, width: int64>>>
child 0, annotations: list<item: struct<areas: list<item: double>, bboxes: list<item: list<item: double>>, category_id: int64, height: int64, id: int64, iscrowd: int64, length: int64, segmentations: list<item: list<item: list<item: double>>>, video_id: int64, width: int64>>
child 0, item: struct<areas: list<item: double>, bboxes: list<item: list<item: double>>, category_id: int64, height: int64, id: int64, iscrowd: int64, length: int64, segmentations: list<item: list<item: list<item: double>>>, video_id: int64, width: int64>
child 0, areas: list<item: double>
child 0, item: double
child 1, bboxes: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, category_id: int64
child 3, height: int64
child 4, id: i
...
t<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 8, video_id: int64
child 9, width: int64
child 1, categories: list<item: struct<id: int64, name: string, supercategory: null>>
child 0, item: struct<id: int64, name: string, supercategory: null>
child 0, id: int64
child 1, name: string
child 2, supercategory: null
child 2, info: struct<contributor: string, description: string, url: string, version: string, year: int64>
child 0, contributor: string
child 1, description: string
child 2, url: string
child 3, version: string
child 4, year: int64
child 3, licenses: list<item: null>
child 0, item: null
child 4, videos: list<item: struct<date_captured: string, file_names: list<item: string>, height: int64, id: int64, length: int64, license: int64, width: int64>>
child 0, item: struct<date_captured: string, file_names: list<item: string>, height: int64, id: int64, length: int64, license: int64, width: int64>
child 0, date_captured: string
child 1, file_names: list<item: string>
child 0, item: string
child 2, height: int64
child 3, id: int64
child 4, length: int64
child 5, license: int64
child 6, width: int64
__key__: string
__url__: string
txt: null
to
{'txt': Value('string'), '__key__': Value('string'), '__url__': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
for key, example in ex_iterable:
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 1914, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2192, in cast_table_to_features
raise CastError(
datasets.table.CastError: Couldn't cast
json: struct<annotations: list<item: struct<areas: list<item: double>, bboxes: list<item: list<item: double>>, category_id: int64, height: int64, id: int64, iscrowd: int64, length: int64, segmentations: list<item: list<item: list<item: double>>>, video_id: int64, width: int64>>, categories: list<item: struct<id: int64, name: string, supercategory: null>>, info: struct<contributor: string, description: string, url: string, version: string, year: int64>, licenses: list<item: null>, videos: list<item: struct<date_captured: string, file_names: list<item: string>, height: int64, id: int64, length: int64, license: int64, width: int64>>>
child 0, annotations: list<item: struct<areas: list<item: double>, bboxes: list<item: list<item: double>>, category_id: int64, height: int64, id: int64, iscrowd: int64, length: int64, segmentations: list<item: list<item: list<item: double>>>, video_id: int64, width: int64>>
child 0, item: struct<areas: list<item: double>, bboxes: list<item: list<item: double>>, category_id: int64, height: int64, id: int64, iscrowd: int64, length: int64, segmentations: list<item: list<item: list<item: double>>>, video_id: int64, width: int64>
child 0, areas: list<item: double>
child 0, item: double
child 1, bboxes: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, category_id: int64
child 3, height: int64
child 4, id: i
...
t<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 8, video_id: int64
child 9, width: int64
child 1, categories: list<item: struct<id: int64, name: string, supercategory: null>>
child 0, item: struct<id: int64, name: string, supercategory: null>
child 0, id: int64
child 1, name: string
child 2, supercategory: null
child 2, info: struct<contributor: string, description: string, url: string, version: string, year: int64>
child 0, contributor: string
child 1, description: string
child 2, url: string
child 3, version: string
child 4, year: int64
child 3, licenses: list<item: null>
child 0, item: null
child 4, videos: list<item: struct<date_captured: string, file_names: list<item: string>, height: int64, id: int64, length: int64, license: int64, width: int64>>
child 0, item: struct<date_captured: string, file_names: list<item: string>, height: int64, id: int64, length: int64, license: int64, width: int64>
child 0, date_captured: string
child 1, file_names: list<item: string>
child 0, item: string
child 2, height: int64
child 3, id: int64
child 4, length: int64
child 5, license: int64
child 6, width: int64
__key__: string
__url__: string
txt: null
to
{'txt': Value('string'), '__key__': Value('string'), '__url__': 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.
No dataset card yet
- Downloads last month
- 38