Datasets:

---

MarxistLeninist

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repro-neo-otib-bundle

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
steps: int64
id: struct<transfer_correct: double, equals_support_answer: double, equals_query_input: double, chance:  (... 63 chars omitted)
  child 0, transfer_correct: double
  child 1, equals_support_answer: double
  child 2, equals_query_input: double
  child 3, chance: double
  child 4, n: int64
  child 5, distinct_predictions: int64
  child 6, self_ex: double
comp_ood: struct<transfer_correct: double, equals_support_answer: double, equals_query_input: double, chance:  (... 63 chars omitted)
  child 0, transfer_correct: double
  child 1, equals_support_answer: double
  child 2, equals_query_input: double
  child 3, chance: double
  child 4, n: int64
  child 5, distinct_predictions: int64
  child 6, self_ex: double
length_ood: struct<transfer_correct: double, equals_support_answer: double, equals_query_input: double, chance:  (... 63 chars omitted)
  child 0, transfer_correct: double
  child 1, equals_support_answer: double
  child 2, equals_query_input: double
  child 3, chance: double
  child 4, n: int64
  child 5, distinct_predictions: int64
  child 6, self_ex: double
vae_seed0: list<item: struct<step: int64, rec: double, kl: double>>
  child 0, item: struct<step: int64, rec: double, kl: double>
      child 0, step: int64
      child 1, rec: double
      child 2, kl: double
gridworld|a=0.33|wrap|base|seed0: list<item: struct<step: int64, rec: double, vq: double, gnd: double, mean_len: double>>
  child 0, item: struct<step: int64, rec: double, vq: double, gnd: double, mean_len: double>
      child 0, step: int64
      child 1, rec: double
      child 2, vq: double
      child 3, gnd: double
      child 4, mean_len: double
to
{'vae_seed0': List({'step': Value('int64'), 'rec': Value('float64'), 'kl': Value('float64')}), 'gridworld|a=0.33|wrap|base|seed0': List({'step': Value('int64'), 'rec': Value('float64'), 'vq': Value('float64'), 'gnd': Value('float64'), 'mean_len': Value('float64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              steps: int64
              id: struct<transfer_correct: double, equals_support_answer: double, equals_query_input: double, chance:  (... 63 chars omitted)
                child 0, transfer_correct: double
                child 1, equals_support_answer: double
                child 2, equals_query_input: double
                child 3, chance: double
                child 4, n: int64
                child 5, distinct_predictions: int64
                child 6, self_ex: double
              comp_ood: struct<transfer_correct: double, equals_support_answer: double, equals_query_input: double, chance:  (... 63 chars omitted)
                child 0, transfer_correct: double
                child 1, equals_support_answer: double
                child 2, equals_query_input: double
                child 3, chance: double
                child 4, n: int64
                child 5, distinct_predictions: int64
                child 6, self_ex: double
              length_ood: struct<transfer_correct: double, equals_support_answer: double, equals_query_input: double, chance:  (... 63 chars omitted)
                child 0, transfer_correct: double
                child 1, equals_support_answer: double
                child 2, equals_query_input: double
                child 3, chance: double
                child 4, n: int64
                child 5, distinct_predictions: int64
                child 6, self_ex: double
              vae_seed0: list<item: struct<step: int64, rec: double, kl: double>>
                child 0, item: struct<step: int64, rec: double, kl: double>
                    child 0, step: int64
                    child 1, rec: double
                    child 2, kl: double
              gridworld|a=0.33|wrap|base|seed0: list<item: struct<step: int64, rec: double, vq: double, gnd: double, mean_len: double>>
                child 0, item: struct<step: int64, rec: double, vq: double, gnd: double, mean_len: double>
                    child 0, step: int64
                    child 1, rec: double
                    child 2, vq: double
                    child 3, gnd: double
                    child 4, mean_len: double
              to
              {'vae_seed0': List({'step': Value('int64'), 'rec': Value('float64'), 'kl': Value('float64')}), 'gridworld|a=0.33|wrap|base|seed0': List({'step': Value('int64'), 'rec': Value('float64'), 'vq': Value('float64'), 'gnd': Value('float64'), 'mean_len': Value('float64')})}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset