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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
rows: int64
ok_rows: int64
failed_rows: int64
min_tokens: int64
max_tokens: int64
sum_tokens: int64
avg_tokens: double
mean_tokens: double
quarter: int64
shard_id: int64
source_dataset: string
source_split: string
text_column: string
tokenizer: string
compression: string
source_end_idx_exclusive: int64
source_start_idx: int64
to
{'rows': Value('int64'), 'ok_rows': Value('int64'), 'failed_rows': Value('int64'), 'min_tokens': Value('int64'), 'max_tokens': Value('int64'), 'sum_tokens': Value('int64'), 'avg_tokens': Value('float64'), 'mean_tokens': Value('float64'), 'quarter': Value('int64'), 'source_start_idx': Value('int64'), 'source_end_idx_exclusive': Value('int64'), 'source_dataset': Value('string'), 'source_split': Value('string'), 'text_column': Value('string'), 'tokenizer': Value('string'), 'compression': Value('string')}
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
              rows: int64
              ok_rows: int64
              failed_rows: int64
              min_tokens: int64
              max_tokens: int64
              sum_tokens: int64
              avg_tokens: double
              mean_tokens: double
              quarter: int64
              shard_id: int64
              source_dataset: string
              source_split: string
              text_column: string
              tokenizer: string
              compression: string
              source_end_idx_exclusive: int64
              source_start_idx: int64
              to
              {'rows': Value('int64'), 'ok_rows': Value('int64'), 'failed_rows': Value('int64'), 'min_tokens': Value('int64'), 'max_tokens': Value('int64'), 'sum_tokens': Value('int64'), 'avg_tokens': Value('float64'), 'mean_tokens': Value('float64'), 'quarter': Value('int64'), 'source_start_idx': Value('int64'), 'source_end_idx_exclusive': Value('int64'), 'source_dataset': Value('string'), 'source_split': Value('string'), 'text_column': Value('string'), 'tokenizer': Value('string'), 'compression': Value('string')}
              because column names don't match

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