Datasets:

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justicedao

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uscode-autoformal-span-cache

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justicedao 12

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
record_kind: string
repository_id: string
agent_id: string
source_span_id: string
legal_id: string
source_text: string
source_text_sha256: string
autoencoder_text: string
compiler_decompiled: string
autoencoder_compiled: string
agrees: bool
reason: string
compiler_roundtrip: bool
strict_compiler_agreement: bool
consensus: string
replicated: bool
round_index: int32
selected_families_json: string
stitch_json: string
holdout_scores_json: string
threshold_json: string
below_threshold_json: string
cosine_similarity: double
cross_entropy_loss: double
reconstruction_loss: double
export_error: string
input_json: string
comparison_json: string
comparison_provenance_json: string
comparison_kind: string
metric_scope: string
release_id: string
code_identity: string
model_identity: string
census_sha256: string
admitted: bool
formalized: bool
wrote_compiler: bool
to
{'schema_version': Value('string'), 'record_kind': Value('string'), 'repository_id': Value('string'), 'dataset_id': Value('string'), 'source_span_id': Value('string'), 'legal_id': Value('string'), 'source_sha256': Value('string'), 'source_text': Value('string'), 'status': Value('string'), 'sealed': Value('bool'), 'admitted': Value('bool'), 'formalized': Value('bool'), 'wrote_compiler': Value('bool'), 'code_identity': Value('string'), 'decoded_text': Value('string'), 'structural': Value('string'), 'formulas_json': Value('string'), 'citations_json': Value('string'), 'compiler_status': Value('string'), 'compiler_reason': Value('string'), 'compiler_fields_json': Value('string'), 'decompiled': Value('string'), 'rule_json': Value('string'), 'repair_error': Value('string'), 'repair_fix': Value('string'), 'repair_diagnostic': Value('string'), 'edit_paths_json': Value('string'), 'symbols_json': Value('string'), 'repair_json': Value('string'), 'cosine_similarity': Value('float64'), 'embedding_cosine_similarity': Value('float64'), 'embedding_cosine_loss': Value('float64'), 'reconstruction_loss': Value('float64'), 'ir_compression_loss': Value('float64'), 'ir_compression_ratio': Value('float64'), 'cross_entropy_loss': Value('float64'), 'round_trip_cross_entropy_loss': Value('float64'), 'formula_cross_entropy_loss': Value('float64'), 'family_cross_entropy_loss': Value('float64'), 'view_cross_entropy_loss': Value('float64'), 'measurements': Value('int32'), 'formula_matches': Value('bool'), 'consensus': Value('string'), 'agrees': Value('bool'), 'census_agree': Value('bool'), 'lake_ok': Value('bool'), 'lake_disposition': Value('string'), 'train': Value('bool')}
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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              schema_version: string
              record_kind: string
              repository_id: string
              agent_id: string
              source_span_id: string
              legal_id: string
              source_text: string
              source_text_sha256: string
              autoencoder_text: string
              compiler_decompiled: string
              autoencoder_compiled: string
              agrees: bool
              reason: string
              compiler_roundtrip: bool
              strict_compiler_agreement: bool
              consensus: string
              replicated: bool
              round_index: int32
              selected_families_json: string
              stitch_json: string
              holdout_scores_json: string
              threshold_json: string
              below_threshold_json: string
              cosine_similarity: double
              cross_entropy_loss: double
              reconstruction_loss: double
              export_error: string
              input_json: string
              comparison_json: string
              comparison_provenance_json: string
              comparison_kind: string
              metric_scope: string
              release_id: string
              code_identity: string
              model_identity: string
              census_sha256: string
              admitted: bool
              formalized: bool
              wrote_compiler: bool
              to
              {'schema_version': Value('string'), 'record_kind': Value('string'), 'repository_id': Value('string'), 'dataset_id': Value('string'), 'source_span_id': Value('string'), 'legal_id': Value('string'), 'source_sha256': Value('string'), 'source_text': Value('string'), 'status': Value('string'), 'sealed': Value('bool'), 'admitted': Value('bool'), 'formalized': Value('bool'), 'wrote_compiler': Value('bool'), 'code_identity': Value('string'), 'decoded_text': Value('string'), 'structural': Value('string'), 'formulas_json': Value('string'), 'citations_json': Value('string'), 'compiler_status': Value('string'), 'compiler_reason': Value('string'), 'compiler_fields_json': Value('string'), 'decompiled': Value('string'), 'rule_json': Value('string'), 'repair_error': Value('string'), 'repair_fix': Value('string'), 'repair_diagnostic': Value('string'), 'edit_paths_json': Value('string'), 'symbols_json': Value('string'), 'repair_json': Value('string'), 'cosine_similarity': Value('float64'), 'embedding_cosine_similarity': Value('float64'), 'embedding_cosine_loss': Value('float64'), 'reconstruction_loss': Value('float64'), 'ir_compression_loss': Value('float64'), 'ir_compression_ratio': Value('float64'), 'cross_entropy_loss': Value('float64'), 'round_trip_cross_entropy_loss': Value('float64'), 'formula_cross_entropy_loss': Value('float64'), 'family_cross_entropy_loss': Value('float64'), 'view_cross_entropy_loss': Value('float64'), 'measurements': Value('int32'), 'formula_matches': Value('bool'), 'consensus': Value('string'), 'agrees': Value('bool'), 'census_agree': Value('bool'), 'lake_ok': Value('bool'), 'lake_disposition': Value('string'), 'train': Value('bool')}
              because column names don't match