Datasets:

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Jinpeng Group 42

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
task_id: string
split: string
domain: string
discipline: string
title: string
description: string
initial_image: string
scene: struct<objects: list<item: struct<id: string, name: string, contents: string, material: string>>, sp (... 57 chars omitted)
  child 0, objects: list<item: struct<id: string, name: string, contents: string, material: string>>
      child 0, item: struct<id: string, name: string, contents: string, material: string>
          child 0, id: string
          child 1, name: string
          child 2, contents: string
          child 3, material: string
  child 1, spatial_relations: list<item: string>
      child 0, item: string
  child 2, environment: string
action_sequence: list<item: struct<step: int64, action: string, target_object: string, contact: string, state_transit (... 39 chars omitted)
  child 0, item: struct<step: int64, action: string, target_object: string, contact: string, state_transition: struct (... 27 chars omitted)
      child 0, step: int64
      child 1, action: string
      child 2, target_object: string
      child 3, contact: string
      child 4, state_transition: struct<from: string, to: string>
          child 0, from: string
          child 1, to: string
prompt_for_gen: string
difficulty_features: struct<number_of_objects: int64, number_of_action_steps: int64, requires_liquid_handling: bool, requ (... 247 chars omitted)
  child 0, number_of_objects: int64
  child 1, number_of_action_steps: int64
  child 2, requires_liquid_handling: bool
  child 3, requires_tool_manipulation: bool
  child 4, requires_fine_motor_control: bool
  child 5, requires_transparent_object_reasoning: bool
  child 6, requires_color_tracking: bool
  child 7, requires_volume_change_detection: bool
  child 8, requires_spatial_memory: bool
  child 9, requires_sequential_ordering: bool
viewpoint: string
source_spec: string
items: list<item: struct<qa_id: string, dimension: string, importance: string, question: string, question_z (... 11 chars omitted)
  child 0, item: struct<qa_id: string, dimension: string, importance: string, question: string, question_zh: string>
      child 0, qa_id: string
      child 1, dimension: string
      child 2, importance: string
      child 3, question: string
      child 4, question_zh: string
task_level: string
to
{'task_id': Value('string'), 'task_level': Value('string'), 'source_spec': Value('string'), 'items': List({'qa_id': Value('string'), 'dimension': Value('string'), 'importance': Value('string'), 'question': Value('string'), 'question_zh': 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
              split: string
              domain: string
              discipline: string
              title: string
              description: string
              initial_image: string
              scene: struct<objects: list<item: struct<id: string, name: string, contents: string, material: string>>, sp (... 57 chars omitted)
                child 0, objects: list<item: struct<id: string, name: string, contents: string, material: string>>
                    child 0, item: struct<id: string, name: string, contents: string, material: string>
                        child 0, id: string
                        child 1, name: string
                        child 2, contents: string
                        child 3, material: string
                child 1, spatial_relations: list<item: string>
                    child 0, item: string
                child 2, environment: string
              action_sequence: list<item: struct<step: int64, action: string, target_object: string, contact: string, state_transit (... 39 chars omitted)
                child 0, item: struct<step: int64, action: string, target_object: string, contact: string, state_transition: struct (... 27 chars omitted)
                    child 0, step: int64
                    child 1, action: string
                    child 2, target_object: string
                    child 3, contact: string
                    child 4, state_transition: struct<from: string, to: string>
                        child 0, from: string
                        child 1, to: string
              prompt_for_gen: string
              difficulty_features: struct<number_of_objects: int64, number_of_action_steps: int64, requires_liquid_handling: bool, requ (... 247 chars omitted)
                child 0, number_of_objects: int64
                child 1, number_of_action_steps: int64
                child 2, requires_liquid_handling: bool
                child 3, requires_tool_manipulation: bool
                child 4, requires_fine_motor_control: bool
                child 5, requires_transparent_object_reasoning: bool
                child 6, requires_color_tracking: bool
                child 7, requires_volume_change_detection: bool
                child 8, requires_spatial_memory: bool
                child 9, requires_sequential_ordering: bool
              viewpoint: string
              source_spec: string
              items: list<item: struct<qa_id: string, dimension: string, importance: string, question: string, question_z (... 11 chars omitted)
                child 0, item: struct<qa_id: string, dimension: string, importance: string, question: string, question_zh: string>
                    child 0, qa_id: string
                    child 1, dimension: string
                    child 2, importance: string
                    child 3, question: string
                    child 4, question_zh: string
              task_level: string
              to
              {'task_id': Value('string'), 'task_level': Value('string'), 'source_spec': Value('string'), 'items': List({'qa_id': Value('string'), 'dimension': Value('string'), 'importance': Value('string'), 'question': Value('string'), 'question_zh': 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 1879, 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