Datasets:

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eval-artifacts

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
record_id: string
uploaded_at: string
run_id: string
bucket: string
garment_type: string
garment_name: string
garment_id: string
episode_uid: string
episode_index: int64
episode_return: double
episode_length: int64
checkpoint_distances: list<item: struct<check_id: string, description: string, distance: double, threshold: double, compar (... 28 chars omitted)
  child 0, item: struct<check_id: string, description: string, distance: double, threshold: double, comparator: strin (... 16 chars omitted)
      child 0, check_id: string
      child 1, description: string
      child 2, distance: double
      child 3, threshold: double
      child 4, comparator: string
      child 5, passed: bool
success_check: string
task_description: string
success: bool
hf_failed_top_video_path: string
hf_failed_top_video_url: string
hf_demo_url: string
hf_top_video_path: string
hf_demo_path: string
hf_top_video_url: string
to
{'record_id': Value('string'), 'uploaded_at': Value('string'), 'run_id': Value('string'), 'bucket': Value('string'), 'garment_type': Value('string'), 'garment_name': Value('string'), 'garment_id': Value('string'), 'episode_uid': Value('string'), 'episode_index': Value('int64'), 'episode_return': Value('float64'), 'episode_length': Value('int64'), 'checkpoint_distances': List({'check_id': Value('string'), 'description': Value('string'), 'distance': Value('float64'), 'threshold': Value('float64'), 'comparator': Value('string'), 'passed': Value('bool')}), 'success_check': Json(decode=True), 'task_description': Value('string'), 'success': Value('bool'), 'hf_demo_path': Value('string'), 'hf_demo_url': Value('string'), 'hf_top_video_path': Value('string'), 'hf_top_video_url': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              record_id: string
              uploaded_at: string
              run_id: string
              bucket: string
              garment_type: string
              garment_name: string
              garment_id: string
              episode_uid: string
              episode_index: int64
              episode_return: double
              episode_length: int64
              checkpoint_distances: list<item: struct<check_id: string, description: string, distance: double, threshold: double, compar (... 28 chars omitted)
                child 0, item: struct<check_id: string, description: string, distance: double, threshold: double, comparator: strin (... 16 chars omitted)
                    child 0, check_id: string
                    child 1, description: string
                    child 2, distance: double
                    child 3, threshold: double
                    child 4, comparator: string
                    child 5, passed: bool
              success_check: string
              task_description: string
              success: bool
              hf_failed_top_video_path: string
              hf_failed_top_video_url: string
              hf_demo_url: string
              hf_top_video_path: string
              hf_demo_path: string
              hf_top_video_url: string
              to
              {'record_id': Value('string'), 'uploaded_at': Value('string'), 'run_id': Value('string'), 'bucket': Value('string'), 'garment_type': Value('string'), 'garment_name': Value('string'), 'garment_id': Value('string'), 'episode_uid': Value('string'), 'episode_index': Value('int64'), 'episode_return': Value('float64'), 'episode_length': Value('int64'), 'checkpoint_distances': List({'check_id': Value('string'), 'description': Value('string'), 'distance': Value('float64'), 'threshold': Value('float64'), 'comparator': Value('string'), 'passed': Value('bool')}), 'success_check': Json(decode=True), 'task_description': Value('string'), 'success': Value('bool'), 'hf_demo_path': Value('string'), 'hf_demo_url': Value('string'), 'hf_top_video_path': Value('string'), 'hf_top_video_url': 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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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