Datasets:

---

CodeMasterCody3D

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taardis-27b-hess27carry

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
blocks: list<item: int64>
  child 0, item: int64
teacher: string
teacher_dtype: string
corpus: string
lane_manifest: string
union_eval: string
chunk: int64
examples: int64
examples_skipped: int64
tokens: int64
tokens_carried: int64
chunks: int64
walked_ids: list<item: int64>
  child 0, item: int64
backend: struct<chunk: string, recurrent: string, conv: string, conv_update: string, norm: string, accel: boo (... 38 chars omitted)
  child 0, chunk: string
  child 1, recurrent: string
  child 2, conv: string
  child 3, conv_update: string
  child 4, norm: string
  child 5, accel: bool
  child 6, style: string
  child 7, hub_kernels: string
rotated: bool
repair_from: null
reset_every_chunk: bool
method: string
slices: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
fit_tokens: int64
n_blocks: int64
note: string
carry: string
to
{'teacher': Value('string'), 'teacher_dtype': Value('string'), 'corpus': Value('string'), 'lane_manifest': Value('string'), 'union_eval': Value('string'), 'chunk': Value('int64'), 'examples': Value('int64'), 'examples_skipped': Value('int64'), 'tokens': Value('int64'), 'tokens_carried': Value('int64'), 'chunks': Value('int64'), 'backend': {'chunk': Value('string'), 'recurrent': Value('string'), 'conv': Value('string'), 'conv_update': Value('string'), 'norm': Value('string'), 'accel': Value('bool'), 'style': Value('string'), 'hub_kernels': Value('string')}, 'rotated': Value('bool'), 'repair_from': Value('null'), 'reset_every_chunk': Value('bool'), 'method': Value('string'), 'slices': List(List(Value('int64'))), 'n_blocks': Value('int64'), 'fit_tokens': Value('int64'), 'carry': Value('string'), 'note': 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 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/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
              blocks: list<item: int64>
                child 0, item: int64
              teacher: string
              teacher_dtype: string
              corpus: string
              lane_manifest: string
              union_eval: string
              chunk: int64
              examples: int64
              examples_skipped: int64
              tokens: int64
              tokens_carried: int64
              chunks: int64
              walked_ids: list<item: int64>
                child 0, item: int64
              backend: struct<chunk: string, recurrent: string, conv: string, conv_update: string, norm: string, accel: boo (... 38 chars omitted)
                child 0, chunk: string
                child 1, recurrent: string
                child 2, conv: string
                child 3, conv_update: string
                child 4, norm: string
                child 5, accel: bool
                child 6, style: string
                child 7, hub_kernels: string
              rotated: bool
              repair_from: null
              reset_every_chunk: bool
              method: string
              slices: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              fit_tokens: int64
              n_blocks: int64
              note: string
              carry: string
              to
              {'teacher': Value('string'), 'teacher_dtype': Value('string'), 'corpus': Value('string'), 'lane_manifest': Value('string'), 'union_eval': Value('string'), 'chunk': Value('int64'), 'examples': Value('int64'), 'examples_skipped': Value('int64'), 'tokens': Value('int64'), 'tokens_carried': Value('int64'), 'chunks': Value('int64'), 'backend': {'chunk': Value('string'), 'recurrent': Value('string'), 'conv': Value('string'), 'conv_update': Value('string'), 'norm': Value('string'), 'accel': Value('bool'), 'style': Value('string'), 'hub_kernels': Value('string')}, 'rotated': Value('bool'), 'repair_from': Value('null'), 'reset_every_chunk': Value('bool'), 'method': Value('string'), 'slices': List(List(Value('int64'))), 'n_blocks': Value('int64'), 'fit_tokens': Value('int64'), 'carry': Value('string'), 'note': Value('string')}
              because column names don't match