Datasets:

---

yaoxianze

/

3D_vis_raw_data

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
format: string
cameras: list<item: string>
  child 0, item: string
capture: string
calibration: struct<transforms: struct<camera_h: list<item: list<item: double>>, camera_external_r: list<item: li (... 179 chars omitted)
  child 0, transforms: struct<camera_h: list<item: list<item: double>>, camera_external_r: list<item: list<item: double>>,  (... 50 chars omitted)
      child 0, camera_h: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 1, camera_external_r: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 2, camera_external_l: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
  child 1, left_ref_to_camera_h: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 2, right_ref_to_camera_h: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
started_at: string
end_pos: list<item: double>
  child 0, item: double
distortion_model: string
name: string
height: double
encoding: string
length: int64
k: list<item: double>
  child 0, item: double
offset: int64
p: list<item: double>
  child 0, item: double
kind: string
stamp_ns: int64
chx: double
chy: double
is_bigendian: int64
step: int64
d: list<item: double>
  child 0, item: double
width: int64
chz: double
joint_pos: list<item: double>
  child 0, item: double
to
{'kind': Value('string'), 'name': Value('string'), 'stamp_ns': Value('int64'), 'height': Value('float64'), 'chx': Value('float64'), 'chy': Value('float64'), 'chz': Value('float64'), 'offset': Value('int64'), 'length': Value('int64'), 'width': Value('int64'), 'step': Value('int64'), 'encoding': Value('string'), 'is_bigendian': Value('int64'), 'k': List(Value('float64')), 'p': List(Value('float64')), 'd': List(Value('float64')), 'distortion_model': Value('string'), 'end_pos': List(Value('float64')), 'joint_pos': List(Value('float64'))}
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
              format: string
              cameras: list<item: string>
                child 0, item: string
              capture: string
              calibration: struct<transforms: struct<camera_h: list<item: list<item: double>>, camera_external_r: list<item: li (... 179 chars omitted)
                child 0, transforms: struct<camera_h: list<item: list<item: double>>, camera_external_r: list<item: list<item: double>>,  (... 50 chars omitted)
                    child 0, camera_h: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 1, camera_external_r: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 2, camera_external_l: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                child 1, left_ref_to_camera_h: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 2, right_ref_to_camera_h: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              started_at: string
              end_pos: list<item: double>
                child 0, item: double
              distortion_model: string
              name: string
              height: double
              encoding: string
              length: int64
              k: list<item: double>
                child 0, item: double
              offset: int64
              p: list<item: double>
                child 0, item: double
              kind: string
              stamp_ns: int64
              chx: double
              chy: double
              is_bigendian: int64
              step: int64
              d: list<item: double>
                child 0, item: double
              width: int64
              chz: double
              joint_pos: list<item: double>
                child 0, item: double
              to
              {'kind': Value('string'), 'name': Value('string'), 'stamp_ns': Value('int64'), 'height': Value('float64'), 'chx': Value('float64'), 'chy': Value('float64'), 'chz': Value('float64'), 'offset': Value('int64'), 'length': Value('int64'), 'width': Value('int64'), 'step': Value('int64'), 'encoding': Value('string'), 'is_bigendian': Value('int64'), 'k': List(Value('float64')), 'p': List(Value('float64')), 'd': List(Value('float64')), 'distortion_model': Value('string'), 'end_pos': List(Value('float64')), 'joint_pos': List(Value('float64'))}
              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