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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
num_paragraphs: int64
paragraphs: list<item: struct<index: int64, is_boilerplate: bool, datasets: list<item: struct<name: string, expl (... 344 chars omitted)
  child 0, item: struct<index: int64, is_boilerplate: bool, datasets: list<item: struct<name: string, explicit_or_imp (... 332 chars omitted)
      child 0, index: int64
      child 1, is_boilerplate: bool
      child 2, datasets: list<item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_t (... 46 chars omitted)
          child 0, item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_types: list< (... 34 chars omitted)
              child 0, name: string
              child 1, explicit_or_implicit: string
              child 2, role: string
              child 3, evidence: string
              child 4, data_types: list<item: string>
                  child 0, item: string
              child 5, repository: string
      child 3, software: list<item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, e (... 91 chars omitted)
          child 0, item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, evidence: st (... 79 chars omitted)
              child 0, name: string
              child 1, explicit_or_implicit: string
              child 2, role: string
              child 3, artifact_type: string
              child 4, evidence: string
              child 5, program
...
              child 7, repository_or_url: string
      child 4, text: string
      child 5, chunks: int64
mentions: struct<datasets: list<item: struct<name: string, explicit_or_implicit: string, role: string, evidenc (... 240 chars omitted)
  child 0, datasets: list<item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_t (... 46 chars omitted)
      child 0, item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_types: list< (... 34 chars omitted)
          child 0, name: string
          child 1, explicit_or_implicit: string
          child 2, role: string
          child 3, evidence: string
          child 4, data_types: list<item: string>
              child 0, item: string
          child 5, repository: string
  child 1, software: list<item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, e (... 64 chars omitted)
      child 0, item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, evidence: st (... 52 chars omitted)
          child 0, name: string
          child 1, explicit_or_implicit: string
          child 2, role: string
          child 3, artifact_type: string
          child 4, evidence: string
          child 5, programming_language: string
          child 6, version: string
record: struct<>
record_error: string
record_raw_output: string
duration_seconds: double
cost_usd: double
gpu: string
max_inputs: int64
to
{'num_paragraphs': Value('int64'), 'paragraphs': List({'index': Value('int64'), 'is_boilerplate': Value('bool'), 'datasets': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'data_types': List(Value('string')), 'evidence': Value('string')}), 'software': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'artifact_type': Value('string'), 'evidence': Value('string')}), 'chunks': Value('int64'), 'text': Value('string')}), 'mentions': {'datasets': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'data_types': List(Value('string')), 'evidence': Value('string')}), 'software': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'artifact_type': Value('string'), 'evidence': Value('string')})}, 'record': {'datasets': List({'canonical_name': Value('string'), 'aliases': List(Value('string')), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'data_types': List(Value('string')), 'data_sharing': Value('string'), 'evidence': List(Value('string')), 'artifact_type': Value('string')}), 'software': List({'canonical_name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'artifact_type': Value('string'), 'code_sharing': Value('string'), 'evidence': List(Value('string'))}), 'paper_summary': {'data_production': Value('bool'), 'data_sharing': Value('string'), 'code_production': Value('bool'), 'code_sharing': Value('string'), 'notes': Value('string')}}, 'duration_seconds': Value('float64'), 'cost_usd': Value('float64'), 'gpu': Value('string'), 'max_inputs': 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
              num_paragraphs: int64
              paragraphs: list<item: struct<index: int64, is_boilerplate: bool, datasets: list<item: struct<name: string, expl (... 344 chars omitted)
                child 0, item: struct<index: int64, is_boilerplate: bool, datasets: list<item: struct<name: string, explicit_or_imp (... 332 chars omitted)
                    child 0, index: int64
                    child 1, is_boilerplate: bool
                    child 2, datasets: list<item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_t (... 46 chars omitted)
                        child 0, item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_types: list< (... 34 chars omitted)
                            child 0, name: string
                            child 1, explicit_or_implicit: string
                            child 2, role: string
                            child 3, evidence: string
                            child 4, data_types: list<item: string>
                                child 0, item: string
                            child 5, repository: string
                    child 3, software: list<item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, e (... 91 chars omitted)
                        child 0, item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, evidence: st (... 79 chars omitted)
                            child 0, name: string
                            child 1, explicit_or_implicit: string
                            child 2, role: string
                            child 3, artifact_type: string
                            child 4, evidence: string
                            child 5, program
              ...
                            child 7, repository_or_url: string
                    child 4, text: string
                    child 5, chunks: int64
              mentions: struct<datasets: list<item: struct<name: string, explicit_or_implicit: string, role: string, evidenc (... 240 chars omitted)
                child 0, datasets: list<item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_t (... 46 chars omitted)
                    child 0, item: struct<name: string, explicit_or_implicit: string, role: string, evidence: string, data_types: list< (... 34 chars omitted)
                        child 0, name: string
                        child 1, explicit_or_implicit: string
                        child 2, role: string
                        child 3, evidence: string
                        child 4, data_types: list<item: string>
                            child 0, item: string
                        child 5, repository: string
                child 1, software: list<item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, e (... 64 chars omitted)
                    child 0, item: struct<name: string, explicit_or_implicit: string, role: string, artifact_type: string, evidence: st (... 52 chars omitted)
                        child 0, name: string
                        child 1, explicit_or_implicit: string
                        child 2, role: string
                        child 3, artifact_type: string
                        child 4, evidence: string
                        child 5, programming_language: string
                        child 6, version: string
              record: struct<>
              record_error: string
              record_raw_output: string
              duration_seconds: double
              cost_usd: double
              gpu: string
              max_inputs: int64
              to
              {'num_paragraphs': Value('int64'), 'paragraphs': List({'index': Value('int64'), 'is_boilerplate': Value('bool'), 'datasets': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'data_types': List(Value('string')), 'evidence': Value('string')}), 'software': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'artifact_type': Value('string'), 'evidence': Value('string')}), 'chunks': Value('int64'), 'text': Value('string')}), 'mentions': {'datasets': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'data_types': List(Value('string')), 'evidence': Value('string')}), 'software': List({'name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'artifact_type': Value('string'), 'evidence': Value('string')})}, 'record': {'datasets': List({'canonical_name': Value('string'), 'aliases': List(Value('string')), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'data_types': List(Value('string')), 'data_sharing': Value('string'), 'evidence': List(Value('string')), 'artifact_type': Value('string')}), 'software': List({'canonical_name': Value('string'), 'explicit_or_implicit': Value('string'), 'role': Value('string'), 'artifact_type': Value('string'), 'code_sharing': Value('string'), 'evidence': List(Value('string'))}), 'paper_summary': {'data_production': Value('bool'), 'data_sharing': Value('string'), 'code_production': Value('bool'), 'code_sharing': Value('string'), 'notes': Value('string')}}, 'duration_seconds': Value('float64'), 'cost_usd': Value('float64'), 'gpu': Value('string'), 'max_inputs': Value('int64')}
              because column names don't match

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