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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
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
meta: struct<source: string, category: string, prompt_hash: string, token_length: int64, assistant_token_l (... 36 chars omitted)
  child 0, source: string
  child 1, category: string
  child 2, prompt_hash: string
  child 3, token_length: int64
  child 4, assistant_token_length: int64
  child 5, length_bucket: string
val: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
  child 0, count: int64
  child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
      child 0, short: int64
      child 1, medium: int64
      child 2, long: int64
  child 2, source_counts: struct<NuminaMath-CoT: int64, OpenMathReasoning: int64>
      child 0, NuminaMath-CoT: int64
      child 1, OpenMathReasoning: int64
  child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
      child 0, min: int64
      child 1, p50: int64
      child 2, p90: int64
      child 3, p95: int64
      child 4, max: int64
  child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
      child 0, min: int64
      child 1, p50: int64
      child 2, p90: int64
      child 3, p95: int64
      child 4, max: int64
train: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
  child 0, count: int64
  child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
      child 0, short: int64
      child 1, medium: int64
      child 2, long: int64
  child 2, source_counts: struct<OpenMathReasoning: int64, NuminaMath-CoT: int64>
      child 0, OpenMathReasoning: int64
      child 1, NuminaMath-CoT: int64
  child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
      child 0, min: int64
      child 1, p50: int64
      child 2, p90: int64
      child 3, p95: int64
      child 4, max: int64
  child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
      child 0, min: int64
      child 1, p50: int64
      child 2, p90: int64
      child 3, p95: int64
      child 4, max: int64
to
{'train': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'OpenMathReasoning': Value('int64'), 'NuminaMath-CoT': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}}, 'val': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'NuminaMath-CoT': Value('int64'), 'OpenMathReasoning': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': 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(
                         ^^^^^^^^^
                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/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              meta: struct<source: string, category: string, prompt_hash: string, token_length: int64, assistant_token_l (... 36 chars omitted)
                child 0, source: string
                child 1, category: string
                child 2, prompt_hash: string
                child 3, token_length: int64
                child 4, assistant_token_length: int64
                child 5, length_bucket: string
              val: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
                child 0, count: int64
                child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
                    child 0, short: int64
                    child 1, medium: int64
                    child 2, long: int64
                child 2, source_counts: struct<NuminaMath-CoT: int64, OpenMathReasoning: int64>
                    child 0, NuminaMath-CoT: int64
                    child 1, OpenMathReasoning: int64
                child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
                    child 0, min: int64
                    child 1, p50: int64
                    child 2, p90: int64
                    child 3, p95: int64
                    child 4, max: int64
                child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
                    child 0, min: int64
                    child 1, p50: int64
                    child 2, p90: int64
                    child 3, p95: int64
                    child 4, max: int64
              train: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
                child 0, count: int64
                child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
                    child 0, short: int64
                    child 1, medium: int64
                    child 2, long: int64
                child 2, source_counts: struct<OpenMathReasoning: int64, NuminaMath-CoT: int64>
                    child 0, OpenMathReasoning: int64
                    child 1, NuminaMath-CoT: int64
                child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
                    child 0, min: int64
                    child 1, p50: int64
                    child 2, p90: int64
                    child 3, p95: int64
                    child 4, max: int64
                child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
                    child 0, min: int64
                    child 1, p50: int64
                    child 2, p90: int64
                    child 3, p95: int64
                    child 4, max: int64
              to
              {'train': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'OpenMathReasoning': Value('int64'), 'NuminaMath-CoT': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}}, 'val': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'NuminaMath-CoT': Value('int64'), 'OpenMathReasoning': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}}}
              because column names don't match

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