Datasets:

---

Zorkzak

/

KineBenchDatasets

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
storefruitbox: struct<ddbe8c8345d91773240751a8194f65791f70ce16a640138d31357f73356c21ea: string, c3fa2c4c7b807f38e2b (... 1016 chars omitted)
  child 0, ddbe8c8345d91773240751a8194f65791f70ce16a640138d31357f73356c21ea: string
  child 1, c3fa2c4c7b807f38e2bbc618ecf1ee9df7cc0cb9b1e265e4fe9659e2addade38: string
  child 2, 1344ddf6849c981d726f0509913dd7f29804f1da72443cbf90d65266b4b80884: string
  child 3, 7eee7bf847ce5a062cb1783ed1bed20364e82bb1a3e8f8cdaad03f56b0c0cbcd: string
  child 4, 1e2778038c4cd75a71da88a1405fad4a94a68fef9a2cb8e4558e106386f4702a: string
  child 5, c4f721edd4e6db9415b9f5a2a9ed3f1a34d413b6271e4792370cbe64bf55fe8f: string
  child 6, 67ce9f9a3ae85d04eb5a80ceeac43bfe85ede212fb488f6d42b048558d9e32e1: string
  child 7, 060eff74f6cc396ae91a1f61392c60f8e2af1b4ebb061679a6f88edaa8ff5cee: string
  child 8, fe34ce4fa8343fe7a1b49f0960187af3ed6a7c1513aff209b9da1b40f57bab6d: string
  child 9, 3375360766d29f324a19959efae7dd2ec24a35eda5dd91888fa5c4902571eb80: string
  child 10, 69c879d461eb9f1c6f195c7a676cf8aa836be3b6506ebcdea73326fceae947cf: string
  child 11, 3f0c1d650b6a4d9b3c1269e5393a41b0ebf01195eb0975c82803f48731c436d3: string
  child 12, 75613acf2162f2e7a6376710a2fe1016fdaafe1cb46d1a7f4d509c2bbd053485: string
  child 13, be3831a03b88784637b203854620f0a29d4736f3cbb82fef4f2ecc0aa929f59b: string
  child 14, 56982662add1e193f414badb52b5f2bd988d4c796f93e8291eb5f95ccaf3286c: string
pickfruits: struct<7b2789952c37ce81ebe33488c32afb4d45593abcd50812166ff64e17070da44f: string, 9
...
7a1e68fc51d02e: string
_meta: struct<config: struct<ann_root: string, tasks: list<item: string>, hash: string, recursive: bool, st (... 260 chars omitted)
  child 0, config: struct<ann_root: string, tasks: list<item: string>, hash: string, recursive: bool, strict_task_key:  (... 5 chars omitted)
      child 0, ann_root: string
      child 1, tasks: list<item: string>
          child 0, item: string
      child 2, hash: string
      child 3, recursive: bool
      child 4, strict_task_key: bool
  child 1, stats: struct<storefruitbox: struct<matched_files: int64, extracted_texts: int64, unique_texts: int64>, pic (... 130 chars omitted)
      child 0, storefruitbox: struct<matched_files: int64, extracted_texts: int64, unique_texts: int64>
          child 0, matched_files: int64
          child 1, extracted_texts: int64
          child 2, unique_texts: int64
      child 1, pickfruits: struct<matched_files: int64, extracted_texts: int64, unique_texts: int64>
          child 0, matched_files: int64
          child 1, extracted_texts: int64
          child 2, unique_texts: int64
      child 2, skipped_bad_json: int64
      child 3, scanned_files: int64
texts: list<item: string>
  child 0, item: string
episode_length: int64
videos: list<item: struct<video_path: string>>
  child 0, item: struct<video_path: string>
      child 0, video_path: string
task: string
episode_id: string
source: struct<hdf5_path: string, traj_key: string>
  child 0, hdf5_path: string
  child 1, traj_key: string
to
{'task': Value('string'), 'episode_id': Value('string'), 'texts': List(Value('string')), 'videos': List({'video_path': Value('string')}), 'episode_length': Value('int64'), 'source': {'hdf5_path': Value('string'), 'traj_key': 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 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
              storefruitbox: struct<ddbe8c8345d91773240751a8194f65791f70ce16a640138d31357f73356c21ea: string, c3fa2c4c7b807f38e2b (... 1016 chars omitted)
                child 0, ddbe8c8345d91773240751a8194f65791f70ce16a640138d31357f73356c21ea: string
                child 1, c3fa2c4c7b807f38e2bbc618ecf1ee9df7cc0cb9b1e265e4fe9659e2addade38: string
                child 2, 1344ddf6849c981d726f0509913dd7f29804f1da72443cbf90d65266b4b80884: string
                child 3, 7eee7bf847ce5a062cb1783ed1bed20364e82bb1a3e8f8cdaad03f56b0c0cbcd: string
                child 4, 1e2778038c4cd75a71da88a1405fad4a94a68fef9a2cb8e4558e106386f4702a: string
                child 5, c4f721edd4e6db9415b9f5a2a9ed3f1a34d413b6271e4792370cbe64bf55fe8f: string
                child 6, 67ce9f9a3ae85d04eb5a80ceeac43bfe85ede212fb488f6d42b048558d9e32e1: string
                child 7, 060eff74f6cc396ae91a1f61392c60f8e2af1b4ebb061679a6f88edaa8ff5cee: string
                child 8, fe34ce4fa8343fe7a1b49f0960187af3ed6a7c1513aff209b9da1b40f57bab6d: string
                child 9, 3375360766d29f324a19959efae7dd2ec24a35eda5dd91888fa5c4902571eb80: string
                child 10, 69c879d461eb9f1c6f195c7a676cf8aa836be3b6506ebcdea73326fceae947cf: string
                child 11, 3f0c1d650b6a4d9b3c1269e5393a41b0ebf01195eb0975c82803f48731c436d3: string
                child 12, 75613acf2162f2e7a6376710a2fe1016fdaafe1cb46d1a7f4d509c2bbd053485: string
                child 13, be3831a03b88784637b203854620f0a29d4736f3cbb82fef4f2ecc0aa929f59b: string
                child 14, 56982662add1e193f414badb52b5f2bd988d4c796f93e8291eb5f95ccaf3286c: string
              pickfruits: struct<7b2789952c37ce81ebe33488c32afb4d45593abcd50812166ff64e17070da44f: string, 9
              ...
              7a1e68fc51d02e: string
              _meta: struct<config: struct<ann_root: string, tasks: list<item: string>, hash: string, recursive: bool, st (... 260 chars omitted)
                child 0, config: struct<ann_root: string, tasks: list<item: string>, hash: string, recursive: bool, strict_task_key:  (... 5 chars omitted)
                    child 0, ann_root: string
                    child 1, tasks: list<item: string>
                        child 0, item: string
                    child 2, hash: string
                    child 3, recursive: bool
                    child 4, strict_task_key: bool
                child 1, stats: struct<storefruitbox: struct<matched_files: int64, extracted_texts: int64, unique_texts: int64>, pic (... 130 chars omitted)
                    child 0, storefruitbox: struct<matched_files: int64, extracted_texts: int64, unique_texts: int64>
                        child 0, matched_files: int64
                        child 1, extracted_texts: int64
                        child 2, unique_texts: int64
                    child 1, pickfruits: struct<matched_files: int64, extracted_texts: int64, unique_texts: int64>
                        child 0, matched_files: int64
                        child 1, extracted_texts: int64
                        child 2, unique_texts: int64
                    child 2, skipped_bad_json: int64
                    child 3, scanned_files: int64
              texts: list<item: string>
                child 0, item: string
              episode_length: int64
              videos: list<item: struct<video_path: string>>
                child 0, item: struct<video_path: string>
                    child 0, video_path: string
              task: string
              episode_id: string
              source: struct<hdf5_path: string, traj_key: string>
                child 0, hdf5_path: string
                child 1, traj_key: string
              to
              {'task': Value('string'), 'episode_id': Value('string'), 'texts': List(Value('string')), 'videos': List({'video_path': Value('string')}), 'episode_length': Value('int64'), 'source': {'hdf5_path': Value('string'), 'traj_key': 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 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