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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Column 1 named camera_observations expected length 406 but got length 405
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/hdf5/hdf5.py", line 83, in _generate_tables
                  pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 279, in _recursive_load_arrays
                  return pa.Table.from_pydict(batch_dict)
                         ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 1985, in pyarrow.lib._Tabular.from_pydict
                File "pyarrow/table.pxi", line 6402, in pyarrow.lib._from_pydict
                  return cls.from_arrays(arrays, names, metadata=metadata)
                File "pyarrow/table.pxi", line 4912, in pyarrow.lib.Table.from_arrays
                  result.validate()
                File "pyarrow/table.pxi", line 4256, in pyarrow.lib.Table.validate
                  check_status(self.table.Validate())
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Column 1 named camera_observations expected length 406 but got length 405
              
              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 1880, 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

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action
dict
camera_observations
dict
observation
dict
{"grip_left_position":{"data":0.025074680301622722},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025075329044193496},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025067277633206687},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025062719027482673},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025058216028264725},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025053873809520157},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025045831220631955},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025042232995838277},"grip_right_position":{"data":0.05},"hand_left_p(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.025038703537939},"grip_right_position":{"data":0.05},"hand_left_posi(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
{"grip_left_position":{"data":0.02503542864760675},"grip_right_position":{"data":0.05},"hand_left_po(...TRUNCATED)
{"color_images":{"stereo_left":[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,255,219,0,67,0,(...TRUNCATED)
{"grip_left_current":{"data":0.0},"grip_left_error_code":{"data":0},"grip_left_homed":{"data":1},"gr(...TRUNCATED)
End of preview.

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Walker-s2-pick-part-sim

Walker-s2-pick-part-sim — walker-s2仿真抓取零件hdf5格式数据集。

统计: 158 条 episode 目录(未转换 LeRobot 格式)。

该简介由 hf_dataset_manager.py 自动生成, 可手动编辑。

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