Datasets:

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
task_id: string
action_class: string
trajectory_kind: string
coordinate_frame_version: string
coordinate_space: string
coords_mode: string
system_source: struct<file: string, field: string, derivation: string, sha256: string>
  child 0, file: string
  child 1, field: string
  child 2, derivation: string
  child 3, sha256: string
source_trace_dir: string
n_steps: int64
n_images: int64
thought_flagged_steps: int64
steps: list<item: struct<index: int64, command: string, phase: string, semantic_step_id: int64, training_po (... 240 chars omitted)
  child 0, item: struct<index: int64, command: string, phase: string, semantic_step_id: int64, training_policy: strin (... 228 chars omitted)
      child 0, index: int64
      child 1, command: string
      child 2, phase: string
      child 3, semantic_step_id: int64
      child 4, training_policy: string
      child 5, runtime_training_disposition: string
      child 6, raw_pixel_coords: struct<coordinate: list<item: int64>, from_coordinate: list<item: int64>, to_coordinate: list<item:  (... 7 chars omitted)
          child 0, coordinate: list<item: int64>
              child 0, item: int64
          child 1, from_coordinate: list<item: int64>
              child 0, item: int64
          child 2, to_coordinate: list<item: int64>
              child 0, item: int64
      child 7, remote_screen_size: string
      child 8, thought_hindsight_flagged: bool
system: string
conversations: list<item: struct<from: string, value: string>>
  child 0, item: struct<from: string, value: string>
      child 0, from: string
      child 1, value: string
images: list<item: string>
  child 0, item: string
to
{'conversations': List({'from': Value('string'), 'value': Value('string')}), 'images': List(Value('string')), 'system': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 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
              task_id: string
              action_class: string
              trajectory_kind: string
              coordinate_frame_version: string
              coordinate_space: string
              coords_mode: string
              system_source: struct<file: string, field: string, derivation: string, sha256: string>
                child 0, file: string
                child 1, field: string
                child 2, derivation: string
                child 3, sha256: string
              source_trace_dir: string
              n_steps: int64
              n_images: int64
              thought_flagged_steps: int64
              steps: list<item: struct<index: int64, command: string, phase: string, semantic_step_id: int64, training_po (... 240 chars omitted)
                child 0, item: struct<index: int64, command: string, phase: string, semantic_step_id: int64, training_policy: strin (... 228 chars omitted)
                    child 0, index: int64
                    child 1, command: string
                    child 2, phase: string
                    child 3, semantic_step_id: int64
                    child 4, training_policy: string
                    child 5, runtime_training_disposition: string
                    child 6, raw_pixel_coords: struct<coordinate: list<item: int64>, from_coordinate: list<item: int64>, to_coordinate: list<item:  (... 7 chars omitted)
                        child 0, coordinate: list<item: int64>
                            child 0, item: int64
                        child 1, from_coordinate: list<item: int64>
                            child 0, item: int64
                        child 2, to_coordinate: list<item: int64>
                            child 0, item: int64
                    child 7, remote_screen_size: string
                    child 8, thought_hindsight_flagged: bool
              system: string
              conversations: list<item: struct<from: string, value: string>>
                child 0, item: struct<from: string, value: string>
                    child 0, from: string
                    child 1, value: string
              images: list<item: string>
                child 0, item: string
              to
              {'conversations': List({'from': Value('string'), 'value': Value('string')}), 'images': List(Value('string')), 'system': Value('string')}
              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 1694, 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 1880, 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