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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
6a3a2e5b8e110de46707bfd031ba797de11fbb46: struct<bucket: string, cached_at: string>
  child 0, bucket: string
  child 1, cached_at: string
e9202245096e6af9d4b0cf73977c57ad5525816f: struct<bucket: string, cached_at: string>
  child 0, bucket: string
  child 1, cached_at: string
fb43f7b4ede3be3f19d8f9b8200adb8139198686: struct<bucket: string, cached_at: string>
  child 0, bucket: string
  child 1, cached_at: string
73dab1d1e48c9cd5db973e76e6f9bd1936e895dc: struct<bucket: string, cached_at: string>
  child 0, bucket: string
  child 1, cached_at: string
c6cd2bdc4915f935442e05a7d85c1b315569a756: struct<bucket: string, cached_at: string>
  child 0, bucket: string
  child 1, cached_at: string
2c34d28a74dd984ee64f0e53972a54d0d0faf6dd: struct<bucket: string, cached_at: string>
  child 0, bucket: string
  child 1, cached_at: string
sha: string
_from_cache: bool
files: list<item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: strin (... 3 chars omitted)
  child 0, item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: string>
      child 0, filename: string
      child 1, status: string
      child 2, additions: int64
      child 3, deletions: int64
      child 4, patch: string
date: timestamp[s]
author: string
message: string
to
{'sha': Value('string'), 'message': Value('string'), 'author': Value('string'), 'date': Value('timestamp[s]'), 'files': List({'filename': Value('string'), 'status': Value('string'), 'additions': Value('int64'), 'deletions': Value('int64'), 'patch': Value('string')}), '_from_cache': Value('bool')}
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              6a3a2e5b8e110de46707bfd031ba797de11fbb46: struct<bucket: string, cached_at: string>
                child 0, bucket: string
                child 1, cached_at: string
              e9202245096e6af9d4b0cf73977c57ad5525816f: struct<bucket: string, cached_at: string>
                child 0, bucket: string
                child 1, cached_at: string
              fb43f7b4ede3be3f19d8f9b8200adb8139198686: struct<bucket: string, cached_at: string>
                child 0, bucket: string
                child 1, cached_at: string
              73dab1d1e48c9cd5db973e76e6f9bd1936e895dc: struct<bucket: string, cached_at: string>
                child 0, bucket: string
                child 1, cached_at: string
              c6cd2bdc4915f935442e05a7d85c1b315569a756: struct<bucket: string, cached_at: string>
                child 0, bucket: string
                child 1, cached_at: string
              2c34d28a74dd984ee64f0e53972a54d0d0faf6dd: struct<bucket: string, cached_at: string>
                child 0, bucket: string
                child 1, cached_at: string
              sha: string
              _from_cache: bool
              files: list<item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: strin (... 3 chars omitted)
                child 0, item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: string>
                    child 0, filename: string
                    child 1, status: string
                    child 2, additions: int64
                    child 3, deletions: int64
                    child 4, patch: string
              date: timestamp[s]
              author: string
              message: string
              to
              {'sha': Value('string'), 'message': Value('string'), 'author': Value('string'), 'date': Value('timestamp[s]'), 'files': List({'filename': Value('string'), 'status': Value('string'), 'additions': Value('int64'), 'deletions': Value('int64'), 'patch': Value('string')}), '_from_cache': Value('bool')}
              because column names don't match

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