Datasets:

---

UItraviolet

/

industrial_cart_2

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
cameraAperture: list<item: double>
  child 0, item: double
cameraApertureOffset: list<item: double>
  child 0, item: double
cameraFisheyeLensP: list<item: null>
  child 0, item: null
cameraFisheyeLensS: list<item: null>
  child 0, item: null
cameraFisheyeMaxFOV: double
cameraFisheyeNominalHeight: int64
cameraFisheyeNominalWidth: int64
cameraFisheyeOpticalCentre: list<item: double>
  child 0, item: double
cameraFisheyePolynomial: list<item: double>
  child 0, item: double
cameraFocalLength: double
cameraFocusDistance: double
cameraFStop: double
cameraModel: string
cameraNearFar: list<item: double>
  child 0, item: double
cameraOpenCVFx: double
cameraOpenCVFy: double
cameraProjection: list<item: double>
  child 0, item: double
cameraViewTransform: list<item: double>
  child 0, item: double
metersPerSceneUnit: double
renderProductResolution: list<item: int64>
  child 0, item: int64
data: list<item: struct<semanticId: int64, x_min: double, y_min: double, z_min: double, x_max: double, y_m (... 113 chars omitted)
  child 0, item: struct<semanticId: int64, x_min: double, y_min: double, z_min: double, x_max: double, y_max: double, (... 101 chars omitted)
      child 0, semanticId: int64
      child 1, x_min: double
      child 2, y_min: double
      child 3, z_min: double
      child 4, x_max: double
      child 5, y_max: double
      child 6, z_max: double
      child 7, transform: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 8, occlusionRatio: double
      child 9, className: string
info: struct<primPaths: list<item: string>, idToLabels: struct<0: struct<class: string>, 1: struct<class:  (... 35 chars omitted)
  child 0, primPaths: list<item: string>
      child 0, item: string
  child 1, idToLabels: struct<0: struct<class: string>, 1: struct<class: string>, 2: struct<class: string>>
      child 0, 0: struct<class: string>
          child 0, class: string
      child 1, 1: struct<class: string>
          child 0, class: string
      child 2, 2: struct<class: string>
          child 0, class: string
to
{'data': List({'semanticId': Value('int64'), 'x_min': Value('float64'), 'y_min': Value('float64'), 'z_min': Value('float64'), 'x_max': Value('float64'), 'y_max': Value('float64'), 'z_max': Value('float64'), 'transform': List(List(Value('float64'))), 'occlusionRatio': Value('float64'), 'className': Value('string')}), 'info': {'primPaths': List(Value('string')), 'idToLabels': {'0': {'class': Value('string')}, '1': {'class': Value('string')}, '2': {'class': 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
              cameraAperture: list<item: double>
                child 0, item: double
              cameraApertureOffset: list<item: double>
                child 0, item: double
              cameraFisheyeLensP: list<item: null>
                child 0, item: null
              cameraFisheyeLensS: list<item: null>
                child 0, item: null
              cameraFisheyeMaxFOV: double
              cameraFisheyeNominalHeight: int64
              cameraFisheyeNominalWidth: int64
              cameraFisheyeOpticalCentre: list<item: double>
                child 0, item: double
              cameraFisheyePolynomial: list<item: double>
                child 0, item: double
              cameraFocalLength: double
              cameraFocusDistance: double
              cameraFStop: double
              cameraModel: string
              cameraNearFar: list<item: double>
                child 0, item: double
              cameraOpenCVFx: double
              cameraOpenCVFy: double
              cameraProjection: list<item: double>
                child 0, item: double
              cameraViewTransform: list<item: double>
                child 0, item: double
              metersPerSceneUnit: double
              renderProductResolution: list<item: int64>
                child 0, item: int64
              data: list<item: struct<semanticId: int64, x_min: double, y_min: double, z_min: double, x_max: double, y_m (... 113 chars omitted)
                child 0, item: struct<semanticId: int64, x_min: double, y_min: double, z_min: double, x_max: double, y_max: double, (... 101 chars omitted)
                    child 0, semanticId: int64
                    child 1, x_min: double
                    child 2, y_min: double
                    child 3, z_min: double
                    child 4, x_max: double
                    child 5, y_max: double
                    child 6, z_max: double
                    child 7, transform: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 8, occlusionRatio: double
                    child 9, className: string
              info: struct<primPaths: list<item: string>, idToLabels: struct<0: struct<class: string>, 1: struct<class:  (... 35 chars omitted)
                child 0, primPaths: list<item: string>
                    child 0, item: string
                child 1, idToLabels: struct<0: struct<class: string>, 1: struct<class: string>, 2: struct<class: string>>
                    child 0, 0: struct<class: string>
                        child 0, class: string
                    child 1, 1: struct<class: string>
                        child 0, class: string
                    child 2, 2: struct<class: string>
                        child 0, class: string
              to
              {'data': List({'semanticId': Value('int64'), 'x_min': Value('float64'), 'y_min': Value('float64'), 'z_min': Value('float64'), 'x_max': Value('float64'), 'y_max': Value('float64'), 'z_max': Value('float64'), 'transform': List(List(Value('float64'))), 'occlusionRatio': Value('float64'), 'className': Value('string')}), 'info': {'primPaths': List(Value('string')), 'idToLabels': {'0': {'class': Value('string')}, '1': {'class': Value('string')}, '2': {'class': 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