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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
passive_2: struct<predictions: list<item: struct<id: string, pred: string>>>
  child 0, predictions: list<item: struct<id: string, pred: string>>
      child 0, item: struct<id: string, pred: string>
          child 0, id: string
          child 1, pred: string
only_npi_scope: struct<predictions: list<item: struct<id: string, pred: string>>>
  child 0, predictions: list<item: struct<id: string, pred: string>>
      child 0, item: struct<id: string, pred: string>
          child 0, id: string
          child 1, pred: string
tough_vs_raising_1: struct<predictions: list<item: struct<id: string, pred: string>>>
  child 0, predictions: list<item: struct<id: string, pred: string>>
      child 0, item: struct<id: string, pred: string>
          child 0, id: string
          child 1, pred: string
wh_vs_that_no_gap: struct<predictions: list<item: struct<id: string, pred: string>>>
  child 0, predictions: list<item: struct<id: string, pred: string>>
      child 0, item: struct<id: string, pred: string>
          child 0, id: string
          child 1, pred: string
coordinate_structure_constraint_complex_left_branch: struct<predictions: list<item: struct<id: string, pred: string>>>
  child 0, predictions: list<item: struct<id: string, pred: string>>
      child 0, item: struct<id: string, pred: string>
          child 0, id: string
          child 1, pred: string
wh_vs_that_no_gap_long_distance: struct<predictions: list<item: struct<id: string, pred: string>>>
  child 0, predictions: lis
...
status: string
factor_manifest_sha256: null
dial_manifest_sha256: string
corpus_source_sha256: string
corpus_manifest_sha256: string
structured_priors_manifest_sha256: null
model_sha256: string
parity: struct<causal_lm: struct<embedding_relation_valid: bool, expected_tied_embeddings: bool, max_abs_log (... 176 chars omitted)
  child 0, causal_lm: struct<embedding_relation_valid: bool, expected_tied_embeddings: bool, max_abs_logit_delta: double,  (... 22 chars omitted)
      child 0, embedding_relation_valid: bool
      child 1, expected_tied_embeddings: bool
      child 2, max_abs_logit_delta: double
      child 3, tied_embeddings: bool
  child 1, masked_lm: struct<embedding_relation_valid: bool, expected_tied_embeddings: bool, max_abs_logit_delta: double,  (... 22 chars omitted)
      child 0, embedding_relation_valid: bool
      child 1, expected_tied_embeddings: bool
      child 2, max_abs_logit_delta: double
      child 3, tied_embeddings: bool
influence_preflight_sha256: null
created_at: string
checkpoint: string
backend: string
evaluator: struct<git_commit: string, git_dirty: bool, source_sha256: string, torch: string, transformers: stri (... 3 chars omitted)
  child 0, git_commit: string
  child 1, git_dirty: bool
  child 2, source_sha256: string
  child 3, torch: string
  child 4, transformers: string
tolm_sha256: string
factorization_manifest_sha256: null
dial_scaffold_sha256: string
parity_max_abs_logit_delta: double
document_order_sha256: null
schema_version: int64
to
{'backend': Value('string'), 'checkpoint': Value('string'), 'corpus_manifest_sha256': Value('string'), 'corpus_source_sha256': Value('string'), 'created_at': Value('string'), 'dial_manifest_sha256': Value('string'), 'dial_scaffold_sha256': Value('string'), 'document_order_sha256': Value('null'), 'evaluator': {'git_commit': Value('string'), 'git_dirty': Value('bool'), 'source_sha256': Value('string'), 'torch': Value('string'), 'transformers': Value('string')}, 'expected_tied_embeddings': Value('bool'), 'factor_manifest_sha256': Value('null'), 'factor_readout_sha256': Value('null'), 'factorization_manifest_sha256': Value('null'), 'influence_preflight_sha256': Value('null'), 'model_sha256': Value('string'), 'parity': {'causal_lm': {'embedding_relation_valid': Value('bool'), 'expected_tied_embeddings': Value('bool'), 'max_abs_logit_delta': Value('float64'), 'tied_embeddings': Value('bool')}, 'masked_lm': {'embedding_relation_valid': Value('bool'), 'expected_tied_embeddings': Value('bool'), 'max_abs_logit_delta': Value('float64'), 'tied_embeddings': Value('bool')}}, 'parity_max_abs_logit_delta': Value('float64'), 'schema_version': Value('int64'), 'status': Value('string'), 'structured_priors_manifest_sha256': Value('null'), 'tokenizer_sha256': Value('string'), 'tolm_sha256': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              passive_2: struct<predictions: list<item: struct<id: string, pred: string>>>
                child 0, predictions: list<item: struct<id: string, pred: string>>
                    child 0, item: struct<id: string, pred: string>
                        child 0, id: string
                        child 1, pred: string
              only_npi_scope: struct<predictions: list<item: struct<id: string, pred: string>>>
                child 0, predictions: list<item: struct<id: string, pred: string>>
                    child 0, item: struct<id: string, pred: string>
                        child 0, id: string
                        child 1, pred: string
              tough_vs_raising_1: struct<predictions: list<item: struct<id: string, pred: string>>>
                child 0, predictions: list<item: struct<id: string, pred: string>>
                    child 0, item: struct<id: string, pred: string>
                        child 0, id: string
                        child 1, pred: string
              wh_vs_that_no_gap: struct<predictions: list<item: struct<id: string, pred: string>>>
                child 0, predictions: list<item: struct<id: string, pred: string>>
                    child 0, item: struct<id: string, pred: string>
                        child 0, id: string
                        child 1, pred: string
              coordinate_structure_constraint_complex_left_branch: struct<predictions: list<item: struct<id: string, pred: string>>>
                child 0, predictions: list<item: struct<id: string, pred: string>>
                    child 0, item: struct<id: string, pred: string>
                        child 0, id: string
                        child 1, pred: string
              wh_vs_that_no_gap_long_distance: struct<predictions: list<item: struct<id: string, pred: string>>>
                child 0, predictions: lis
              ...
              status: string
              factor_manifest_sha256: null
              dial_manifest_sha256: string
              corpus_source_sha256: string
              corpus_manifest_sha256: string
              structured_priors_manifest_sha256: null
              model_sha256: string
              parity: struct<causal_lm: struct<embedding_relation_valid: bool, expected_tied_embeddings: bool, max_abs_log (... 176 chars omitted)
                child 0, causal_lm: struct<embedding_relation_valid: bool, expected_tied_embeddings: bool, max_abs_logit_delta: double,  (... 22 chars omitted)
                    child 0, embedding_relation_valid: bool
                    child 1, expected_tied_embeddings: bool
                    child 2, max_abs_logit_delta: double
                    child 3, tied_embeddings: bool
                child 1, masked_lm: struct<embedding_relation_valid: bool, expected_tied_embeddings: bool, max_abs_logit_delta: double,  (... 22 chars omitted)
                    child 0, embedding_relation_valid: bool
                    child 1, expected_tied_embeddings: bool
                    child 2, max_abs_logit_delta: double
                    child 3, tied_embeddings: bool
              influence_preflight_sha256: null
              created_at: string
              checkpoint: string
              backend: string
              evaluator: struct<git_commit: string, git_dirty: bool, source_sha256: string, torch: string, transformers: stri (... 3 chars omitted)
                child 0, git_commit: string
                child 1, git_dirty: bool
                child 2, source_sha256: string
                child 3, torch: string
                child 4, transformers: string
              tolm_sha256: string
              factorization_manifest_sha256: null
              dial_scaffold_sha256: string
              parity_max_abs_logit_delta: double
              document_order_sha256: null
              schema_version: int64
              to
              {'backend': Value('string'), 'checkpoint': Value('string'), 'corpus_manifest_sha256': Value('string'), 'corpus_source_sha256': Value('string'), 'created_at': Value('string'), 'dial_manifest_sha256': Value('string'), 'dial_scaffold_sha256': Value('string'), 'document_order_sha256': Value('null'), 'evaluator': {'git_commit': Value('string'), 'git_dirty': Value('bool'), 'source_sha256': Value('string'), 'torch': Value('string'), 'transformers': Value('string')}, 'expected_tied_embeddings': Value('bool'), 'factor_manifest_sha256': Value('null'), 'factor_readout_sha256': Value('null'), 'factorization_manifest_sha256': Value('null'), 'influence_preflight_sha256': Value('null'), 'model_sha256': Value('string'), 'parity': {'causal_lm': {'embedding_relation_valid': Value('bool'), 'expected_tied_embeddings': Value('bool'), 'max_abs_logit_delta': Value('float64'), 'tied_embeddings': Value('bool')}, 'masked_lm': {'embedding_relation_valid': Value('bool'), 'expected_tied_embeddings': Value('bool'), 'max_abs_logit_delta': Value('float64'), 'tied_embeddings': Value('bool')}}, 'parity_max_abs_logit_delta': Value('float64'), 'schema_version': Value('int64'), 'status': Value('string'), 'structured_priors_manifest_sha256': Value('null'), 'tokenizer_sha256': Value('string'), 'tolm_sha256': Value('string')}
              because column names don't match

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