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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
name: string
repo: string
dtype: string
eos_id: int64
tokenizer: string
tokens: int64
docs: int64
rows: int64
position: struct<examples_iterable: struct<examples_iterable: struct<shard_idx: int64, shard_example_idx: int6 (... 215 chars omitted)
  child 0, examples_iterable: struct<examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>, previous (... 174 chars omitted)
      child 0, examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>
          child 0, shard_idx: int64
          child 1, shard_example_idx: int64
          child 2, type: string
      child 1, previous_state: struct<shard_idx: int64, shard_example_idx: int64, type: string>
          child 0, shard_idx: int64
          child 1, shard_example_idx: int64
          child 2, type: string
      child 2, batch_idx: int64
      child 3, num_chunks_since_previous_state: int64
      child 4, cropped_chunk_length: int64
      child 5, type: string
  child 1, epoch: int64
exhausted: bool
segments: int64
seq_len: int64
pad_tokens: int64
method: string
to
{'rows': Value('int64'), 'segments': Value('int64'), 'seq_len': Value('int64'), 'method': Value('string'), 'docs': Value('int64'), 'tokens': Value('int64'), 'pad_tokens': 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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              name: string
              repo: string
              dtype: string
              eos_id: int64
              tokenizer: string
              tokens: int64
              docs: int64
              rows: int64
              position: struct<examples_iterable: struct<examples_iterable: struct<shard_idx: int64, shard_example_idx: int6 (... 215 chars omitted)
                child 0, examples_iterable: struct<examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>, previous (... 174 chars omitted)
                    child 0, examples_iterable: struct<shard_idx: int64, shard_example_idx: int64, type: string>
                        child 0, shard_idx: int64
                        child 1, shard_example_idx: int64
                        child 2, type: string
                    child 1, previous_state: struct<shard_idx: int64, shard_example_idx: int64, type: string>
                        child 0, shard_idx: int64
                        child 1, shard_example_idx: int64
                        child 2, type: string
                    child 2, batch_idx: int64
                    child 3, num_chunks_since_previous_state: int64
                    child 4, cropped_chunk_length: int64
                    child 5, type: string
                child 1, epoch: int64
              exhausted: bool
              segments: int64
              seq_len: int64
              pad_tokens: int64
              method: string
              to
              {'rows': Value('int64'), 'segments': Value('int64'), 'seq_len': Value('int64'), 'method': Value('string'), 'docs': Value('int64'), 'tokens': Value('int64'), 'pad_tokens': Value('int64')}
              because column names don't match

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