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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
created_utc: string
downloaded_path: string
downloaded_sha256: string
expected_sha256_from_encryption_json: string
local_path: string
local_sha256: string
repo_id: string
repo_type: string
repo_url: string
run_id: string
sha256_match: bool
uploaded_file: string
file_count: int64
total_bytes: int64
files: list<item: struct<bytes: int64, path: string, sha256: string>>
  child 0, item: struct<bytes: int64, path: string, sha256: string>
      child 0, bytes: int64
      child 1, path: string
      child 2, sha256: string
to
{'created_utc': Value('string'), 'file_count': Value('int64'), 'files': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}), 'run_id': Value('string'), 'total_bytes': 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/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
              created_utc: string
              downloaded_path: string
              downloaded_sha256: string
              expected_sha256_from_encryption_json: string
              local_path: string
              local_sha256: string
              repo_id: string
              repo_type: string
              repo_url: string
              run_id: string
              sha256_match: bool
              uploaded_file: string
              file_count: int64
              total_bytes: int64
              files: list<item: struct<bytes: int64, path: string, sha256: string>>
                child 0, item: struct<bytes: int64, path: string, sha256: string>
                    child 0, bytes: int64
                    child 1, path: string
                    child 2, sha256: string
              to
              {'created_utc': Value('string'), 'file_count': Value('int64'), 'files': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}), 'run_id': Value('string'), 'total_bytes': Value('int64')}
              because column names don't match

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