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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
model: string
n_rows: int64
n_recv: int64
ratios: list<item: string>
  child 0, item: string
cap_gen: int64
max_model_len: int64
over_length: struct<cold: int64, r0.3: int64, r0.5: int64, r0.7: int64, r0.9: int64>
  child 0, cold: int64
  child 1, r0.3: int64
  child 2, r0.5: int64
  child 3, r0.7: int64
  child 4, r0.9: int64
acc: struct<cold: double, r0.3: double, r0.5: double, r0.7: double, r0.9: double>
  child 0, cold: double
  child 1, r0.3: double
  child 2, r0.5: double
  child 3, r0.7: double
  child 4, r0.9: double
lift: struct<r0.3: double, r0.5: double, r0.7: double, r0.9: double>
  child 0, r0.3: double
  child 1, r0.5: double
  child 2, r0.7: double
  child 3, r0.9: double
rows: list<item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64,  (... 68 chars omitted)
  child 0, item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64, ratios: str (... 56 chars omitted)
      child 0, bench: string
      child 1, i: int64
      child 2, s: int64
      child 3, gt: string
      child 4, question: string
      child 5, full_len: int64
      child 6, ratios: struct<0.3: string, 0.5: string, 0.7: string, 0.9: string>
          child 0, 0.3: string
          child 1, 0.5: string
          child 2, 0.7: string
          child 3, 0.9: string
to
{'ratios': List(Value('string')), 'rows': List({'bench': Value('string'), 'i': Value('int64'), 's': Value('int64'), 'gt': Value('string'), 'question': Value('string'), 'full_len': Value('int64'), 'ratios': {'0.3': Value('string'), '0.5': Value('string'), '0.7': Value('string'), '0.9': 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
              model: string
              n_rows: int64
              n_recv: int64
              ratios: list<item: string>
                child 0, item: string
              cap_gen: int64
              max_model_len: int64
              over_length: struct<cold: int64, r0.3: int64, r0.5: int64, r0.7: int64, r0.9: int64>
                child 0, cold: int64
                child 1, r0.3: int64
                child 2, r0.5: int64
                child 3, r0.7: int64
                child 4, r0.9: int64
              acc: struct<cold: double, r0.3: double, r0.5: double, r0.7: double, r0.9: double>
                child 0, cold: double
                child 1, r0.3: double
                child 2, r0.5: double
                child 3, r0.7: double
                child 4, r0.9: double
              lift: struct<r0.3: double, r0.5: double, r0.7: double, r0.9: double>
                child 0, r0.3: double
                child 1, r0.5: double
                child 2, r0.7: double
                child 3, r0.9: double
              rows: list<item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64,  (... 68 chars omitted)
                child 0, item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64, ratios: str (... 56 chars omitted)
                    child 0, bench: string
                    child 1, i: int64
                    child 2, s: int64
                    child 3, gt: string
                    child 4, question: string
                    child 5, full_len: int64
                    child 6, ratios: struct<0.3: string, 0.5: string, 0.7: string, 0.9: string>
                        child 0, 0.3: string
                        child 1, 0.5: string
                        child 2, 0.7: string
                        child 3, 0.9: string
              to
              {'ratios': List(Value('string')), 'rows': List({'bench': Value('string'), 'i': Value('int64'), 's': Value('int64'), 'gt': Value('string'), 'question': Value('string'), 'full_len': Value('int64'), 'ratios': {'0.3': Value('string'), '0.5': Value('string'), '0.7': Value('string'), '0.9': Value('string')}})}
              because column names don't match

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