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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
batch_id: string
entries: list<item: struct<category: string, id: string, num_inference_steps: int64, ordinal: int64, partitio (... 898 chars omitted)
  child 0, item: struct<category: string, id: string, num_inference_steps: int64, ordinal: int64, partition: string,  (... 886 chars omitted)
      child 0, category: string
      child 1, id: string
      child 2, num_inference_steps: int64
      child 3, ordinal: int64
      child 4, partition: string
      child 5, prompt_sha256: string
      child 6, reference_count: int64
      child 7, references: list<item: struct<bundle_path: string, bytes: int64, format: string, height: int64, picture_index: i (... 136 chars omitted)
          child 0, item: struct<bundle_path: string, bytes: int64, format: string, height: int64, picture_index: int64, pictu (... 124 chars omitted)
              child 0, bundle_path: string
              child 1, bytes: int64
              child 2, format: string
              child 3, height: int64
              child 4, picture_index: int64
              child 5, picture_label: string
              child 6, sha256: string
              child 7, slot_id: int64
              child 8, slot_name: string
              child 9, source_path: string
              child 10, source_type: string
              child 11, width: int64
      child 8, request: string
      child 9, request_sha256: string
      child 10, rewrite_receipt: struct<agent_message: struct<id: string, type: string>, attempt: int64, compiler:
...
 child 6, validation: struct<characters: int64, detailed_description_words: int64, picture_labels: list<item: int64>, refe (... 99 chars omitted)
              child 0, characters: int64
              child 1, detailed_description_words: int64
              child 2, picture_labels: list<item: int64>
                  child 0, item: int64
              child 3, reference_count: int64
              child 4, sections: list<item: string>
                  child 0, item: string
              child 5, state: string
              child 6, subject_labels: list<item: int64>
                  child 0, item: int64
      child 11, seed: int64
      child 12, source_record_sha256: string
      child 13, target: struct<aspect_ratio: string, duration_seconds: double, height: int64, width: int64>
          child 0, aspect_ratio: string
          child 1, duration_seconds: double
          child 2, height: int64
          child 3, width: int64
      child 14, target_slot_id: string
reference_count: int64
request_count: int64
schema: string
source_preview: string
source_preview_sha256: string
target: struct<duration_seconds: double, fps: int64, height: int64, num_inference_steps: int64, requires_aud (... 23 chars omitted)
  child 0, duration_seconds: double
  child 1, fps: int64
  child 2, height: int64
  child 3, num_inference_steps: int64
  child 4, requires_audio: bool
  child 5, width: int64
total_reference_bytes: int64
references: int64
bytes: int64
manifest_sha256: string
requests: int64
to
{'bytes': Value('int64'), 'manifest_sha256': Value('string'), 'references': Value('int64'), 'requests': Value('int64'), 'schema': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              batch_id: string
              entries: list<item: struct<category: string, id: string, num_inference_steps: int64, ordinal: int64, partitio (... 898 chars omitted)
                child 0, item: struct<category: string, id: string, num_inference_steps: int64, ordinal: int64, partition: string,  (... 886 chars omitted)
                    child 0, category: string
                    child 1, id: string
                    child 2, num_inference_steps: int64
                    child 3, ordinal: int64
                    child 4, partition: string
                    child 5, prompt_sha256: string
                    child 6, reference_count: int64
                    child 7, references: list<item: struct<bundle_path: string, bytes: int64, format: string, height: int64, picture_index: i (... 136 chars omitted)
                        child 0, item: struct<bundle_path: string, bytes: int64, format: string, height: int64, picture_index: int64, pictu (... 124 chars omitted)
                            child 0, bundle_path: string
                            child 1, bytes: int64
                            child 2, format: string
                            child 3, height: int64
                            child 4, picture_index: int64
                            child 5, picture_label: string
                            child 6, sha256: string
                            child 7, slot_id: int64
                            child 8, slot_name: string
                            child 9, source_path: string
                            child 10, source_type: string
                            child 11, width: int64
                    child 8, request: string
                    child 9, request_sha256: string
                    child 10, rewrite_receipt: struct<agent_message: struct<id: string, type: string>, attempt: int64, compiler:
              ...
               child 6, validation: struct<characters: int64, detailed_description_words: int64, picture_labels: list<item: int64>, refe (... 99 chars omitted)
                            child 0, characters: int64
                            child 1, detailed_description_words: int64
                            child 2, picture_labels: list<item: int64>
                                child 0, item: int64
                            child 3, reference_count: int64
                            child 4, sections: list<item: string>
                                child 0, item: string
                            child 5, state: string
                            child 6, subject_labels: list<item: int64>
                                child 0, item: int64
                    child 11, seed: int64
                    child 12, source_record_sha256: string
                    child 13, target: struct<aspect_ratio: string, duration_seconds: double, height: int64, width: int64>
                        child 0, aspect_ratio: string
                        child 1, duration_seconds: double
                        child 2, height: int64
                        child 3, width: int64
                    child 14, target_slot_id: string
              reference_count: int64
              request_count: int64
              schema: string
              source_preview: string
              source_preview_sha256: string
              target: struct<duration_seconds: double, fps: int64, height: int64, num_inference_steps: int64, requires_aud (... 23 chars omitted)
                child 0, duration_seconds: double
                child 1, fps: int64
                child 2, height: int64
                child 3, num_inference_steps: int64
                child 4, requires_audio: bool
                child 5, width: int64
              total_reference_bytes: int64
              references: int64
              bytes: int64
              manifest_sha256: string
              requests: int64
              to
              {'bytes': Value('int64'), 'manifest_sha256': Value('string'), 'references': Value('int64'), 'requests': Value('int64'), 'schema': Value('string')}
              because column names don't match

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