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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
</WEB_QUERY>: int64
</WEB_RESPONSE>: int64
<WEB_QUERY>: int64
<WEB_RESPONSE>: int64
tok_trunc_dropped: int64
n_holdout: int64
trunc_frac: double
n_train: int64
nonpad_tokens: int64
docs_dropped_filter: int64
docs_kept: int64
docs_seen: int64
docs_trunc: int64
total_tokens: int64
tok_in_kept: int64
blocks: int64
fill_rate: double
to
{'docs_seen': Value('int64'), 'docs_kept': Value('int64'), 'docs_dropped_filter': Value('int64'), 'docs_trunc': Value('int64'), 'tok_in_kept': Value('int64'), 'tok_trunc_dropped': Value('int64'), 'blocks': Value('int64'), 'nonpad_tokens': Value('int64'), 'total_tokens': Value('int64'), 'fill_rate': Value('float64'), 'trunc_frac': Value('float64'), 'n_holdout': Value('int64'), 'n_train': 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
              </WEB_QUERY>: int64
              </WEB_RESPONSE>: int64
              <WEB_QUERY>: int64
              <WEB_RESPONSE>: int64
              tok_trunc_dropped: int64
              n_holdout: int64
              trunc_frac: double
              n_train: int64
              nonpad_tokens: int64
              docs_dropped_filter: int64
              docs_kept: int64
              docs_seen: int64
              docs_trunc: int64
              total_tokens: int64
              tok_in_kept: int64
              blocks: int64
              fill_rate: double
              to
              {'docs_seen': Value('int64'), 'docs_kept': Value('int64'), 'docs_dropped_filter': Value('int64'), 'docs_trunc': Value('int64'), 'tok_in_kept': Value('int64'), 'tok_trunc_dropped': Value('int64'), 'blocks': Value('int64'), 'nonpad_tokens': Value('int64'), 'total_tokens': Value('int64'), 'fill_rate': Value('float64'), 'trunc_frac': Value('float64'), 'n_holdout': Value('int64'), 'n_train': Value('int64')}
              because column names don't match

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