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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 match

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