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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
status: string
original_episodes: int64
warped: int64
already_aligned_identity: int64
missing_reference: int64
replay_preserved: int64
total_output_episodes: int64
uniform_latest_camera: bool
old_group_heldout: struct<episode: string, matching_points: int64, before_median_px: double, after_median_px: double, a (... 20 chars omitted)
  child 0, episode: string
  child 1, matching_points: int64
  child 2, before_median_px: double
  child 3, after_median_px: double
  child 4, after_p90_px: double
new_group_heldout_identity: struct<episodes: list<item: string>, matching_points: int64, median_px: double, p90_px: double>
  child 0, episodes: list<item: string>
      child 0, item: string
  child 1, matching_points: int64
  child 2, median_px: double
  child 3, p90_px: double
corrected_video_frame_count: int64
exact_video_pts_preserved: bool
byte_identical_copied_files: int64
max_sample_encoding_mae: double
rejected_fits: list<item: string>
  child 0, item: string
unresolved: string
audio_provenance: struct<source_sample_rates_hz: list<item: int64>, target_sample_rate_hz: int64, resampling: string,  (... 121 chars omitted)
  child 0, source_sample_rates_hz: list<item: int64>
      child 0, item: int64
  child 1, target_sample_rate_hz: int64
  child 2, resampling: string
  child 3, context_shape: list<item: int64>
      child 0, item: int64
  child 4, context_duration_s: double
  child 5, latency_s: double
  child 6, latency_s_by_key: struct<mic_r: double>
      child 0, mic_r: doubl
...
d 4, control_representation: struct<representation: string, state_representation: string, state_layout: struct<joint_qpos: list<i (... 452 chars omitted)
      child 0, representation: string
      child 1, state_representation: string
      child 2, state_layout: struct<joint_qpos: list<item: int64>, ee_position_base: list<item: int64>, ee_rotation_6d_base: list (... 14 chars omitted)
          child 0, joint_qpos: list<item: int64>
              child 0, item: int64
          child 1, ee_position_base: list<item: int64>
              child 0, item: int64
          child 2, ee_rotation_6d_base: list<item: int64>
              child 0, item: int64
      child 3, action_layout: struct<absolute_joint_qpos: list<item: int64>, absolute_arm_qpos: list<item: int64>, absolute_hand_q (... 23 chars omitted)
          child 0, absolute_joint_qpos: list<item: int64>
              child 0, item: int64
          child 1, absolute_arm_qpos: list<item: int64>
              child 0, item: int64
          child 2, absolute_hand_qpos: list<item: int64>
              child 0, item: int64
      child 4, action_reference: string
      child 5, deployment_semantics: string
      child 6, urdf_path: string
      child 7, urdf_sha256: string
      child 8, arm_joint_names: list<item: string>
          child 0, item: string
      child 9, hand_joint_names: list<item: string>
          child 0, item: string
      child 10, ee_frame: string
      child 11, arm_dof: int64
      child 12, hand_dof: int64
to
{'repo_id': Value('string'), 'fps': Value('float64'), 'state_dim': Value('int64'), 'action_dim': Value('int64'), 'episodes': List({'episode_index': Value('int64'), 'split': Value('string'), 'task': Value('string'), 'num_frames': Value('int64'), 'frame_index_start': Value('int64'), 'frame_index_end': Value('int64')}), 'hardware_provenance': {'hand_type': Value('string'), 'state_layout': {'arm_dof': Value('int64'), 'hand_dof': Value('int64')}, 'tactile': {'format': Value('string'), 'sensor_ids': List(Value('int64')), 'sensor_regions': {'1': Value('string'), '2': Value('string'), '3': Value('string'), '5': Value('string'), '6': Value('string'), '7': Value('string'), '9': Value('string'), '10': Value('string'), '11': Value('string'), '13': Value('string'), '14': Value('string'), '15': Value('string'), '17': Value('string'), '18': Value('string'), '19': Value('string'), '30': Value('string'), '31': Value('string'), '32': Value('string')}, 'force_components': Value('int64'), 'channel_counts': {'1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '9': Value('int64'), '10': Value('int64'), '11': Value('int64'), '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '30': Value('int64'), '31': Value('int64'), '32': Value('int64')}, 'proximity_counts': {'1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '5': Value('int64'), '6
...
'13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '30': Value('int64'), '31': Value('int64'), '32': Value('int64')}, 'joint_dof': Value('int64'), 'joint_suffixes_sdk_order': List(Value('string')), 'schema_sha256': Value('string'), 'normalization': {'method': Value('string'), 'train_frame_count': Value('int64'), 'log_q99': List(List(Value('float64'))), 'clipped': Value('bool')}}, 'transport': Value('string'), 'control_representation': {'representation': Value('string'), 'state_representation': Value('string'), 'state_layout': {'joint_qpos': List(Value('int64')), 'ee_position_base': List(Value('int64')), 'ee_rotation_6d_base': List(Value('int64'))}, 'action_layout': {'absolute_joint_qpos': List(Value('int64')), 'absolute_arm_qpos': List(Value('int64')), 'absolute_hand_qpos': List(Value('int64'))}, 'action_reference': Value('string'), 'deployment_semantics': Value('string'), 'urdf_path': Value('string'), 'urdf_sha256': Value('string'), 'arm_joint_names': List(Value('string')), 'hand_joint_names': List(Value('string')), 'ee_frame': Value('string'), 'arm_dof': Value('int64'), 'hand_dof': Value('int64')}}, 'audio_provenance': {'source_sample_rates_hz': List(Value('int64')), 'target_sample_rate_hz': Value('int64'), 'resampling': Value('string'), 'context_shape': List(Value('int64')), 'context_duration_s': Value('float64'), 'latency_s': Value('float64'), 'latency_s_by_key': {'mic_r': 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
              status: string
              original_episodes: int64
              warped: int64
              already_aligned_identity: int64
              missing_reference: int64
              replay_preserved: int64
              total_output_episodes: int64
              uniform_latest_camera: bool
              old_group_heldout: struct<episode: string, matching_points: int64, before_median_px: double, after_median_px: double, a (... 20 chars omitted)
                child 0, episode: string
                child 1, matching_points: int64
                child 2, before_median_px: double
                child 3, after_median_px: double
                child 4, after_p90_px: double
              new_group_heldout_identity: struct<episodes: list<item: string>, matching_points: int64, median_px: double, p90_px: double>
                child 0, episodes: list<item: string>
                    child 0, item: string
                child 1, matching_points: int64
                child 2, median_px: double
                child 3, p90_px: double
              corrected_video_frame_count: int64
              exact_video_pts_preserved: bool
              byte_identical_copied_files: int64
              max_sample_encoding_mae: double
              rejected_fits: list<item: string>
                child 0, item: string
              unresolved: string
              audio_provenance: struct<source_sample_rates_hz: list<item: int64>, target_sample_rate_hz: int64, resampling: string,  (... 121 chars omitted)
                child 0, source_sample_rates_hz: list<item: int64>
                    child 0, item: int64
                child 1, target_sample_rate_hz: int64
                child 2, resampling: string
                child 3, context_shape: list<item: int64>
                    child 0, item: int64
                child 4, context_duration_s: double
                child 5, latency_s: double
                child 6, latency_s_by_key: struct<mic_r: double>
                    child 0, mic_r: doubl
              ...
              d 4, control_representation: struct<representation: string, state_representation: string, state_layout: struct<joint_qpos: list<i (... 452 chars omitted)
                    child 0, representation: string
                    child 1, state_representation: string
                    child 2, state_layout: struct<joint_qpos: list<item: int64>, ee_position_base: list<item: int64>, ee_rotation_6d_base: list (... 14 chars omitted)
                        child 0, joint_qpos: list<item: int64>
                            child 0, item: int64
                        child 1, ee_position_base: list<item: int64>
                            child 0, item: int64
                        child 2, ee_rotation_6d_base: list<item: int64>
                            child 0, item: int64
                    child 3, action_layout: struct<absolute_joint_qpos: list<item: int64>, absolute_arm_qpos: list<item: int64>, absolute_hand_q (... 23 chars omitted)
                        child 0, absolute_joint_qpos: list<item: int64>
                            child 0, item: int64
                        child 1, absolute_arm_qpos: list<item: int64>
                            child 0, item: int64
                        child 2, absolute_hand_qpos: list<item: int64>
                            child 0, item: int64
                    child 4, action_reference: string
                    child 5, deployment_semantics: string
                    child 6, urdf_path: string
                    child 7, urdf_sha256: string
                    child 8, arm_joint_names: list<item: string>
                        child 0, item: string
                    child 9, hand_joint_names: list<item: string>
                        child 0, item: string
                    child 10, ee_frame: string
                    child 11, arm_dof: int64
                    child 12, hand_dof: int64
              to
              {'repo_id': Value('string'), 'fps': Value('float64'), 'state_dim': Value('int64'), 'action_dim': Value('int64'), 'episodes': List({'episode_index': Value('int64'), 'split': Value('string'), 'task': Value('string'), 'num_frames': Value('int64'), 'frame_index_start': Value('int64'), 'frame_index_end': Value('int64')}), 'hardware_provenance': {'hand_type': Value('string'), 'state_layout': {'arm_dof': Value('int64'), 'hand_dof': Value('int64')}, 'tactile': {'format': Value('string'), 'sensor_ids': List(Value('int64')), 'sensor_regions': {'1': Value('string'), '2': Value('string'), '3': Value('string'), '5': Value('string'), '6': Value('string'), '7': Value('string'), '9': Value('string'), '10': Value('string'), '11': Value('string'), '13': Value('string'), '14': Value('string'), '15': Value('string'), '17': Value('string'), '18': Value('string'), '19': Value('string'), '30': Value('string'), '31': Value('string'), '32': Value('string')}, 'force_components': Value('int64'), 'channel_counts': {'1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '9': Value('int64'), '10': Value('int64'), '11': Value('int64'), '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '30': Value('int64'), '31': Value('int64'), '32': Value('int64')}, 'proximity_counts': {'1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '5': Value('int64'), '6
              ...
              '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '30': Value('int64'), '31': Value('int64'), '32': Value('int64')}, 'joint_dof': Value('int64'), 'joint_suffixes_sdk_order': List(Value('string')), 'schema_sha256': Value('string'), 'normalization': {'method': Value('string'), 'train_frame_count': Value('int64'), 'log_q99': List(List(Value('float64'))), 'clipped': Value('bool')}}, 'transport': Value('string'), 'control_representation': {'representation': Value('string'), 'state_representation': Value('string'), 'state_layout': {'joint_qpos': List(Value('int64')), 'ee_position_base': List(Value('int64')), 'ee_rotation_6d_base': List(Value('int64'))}, 'action_layout': {'absolute_joint_qpos': List(Value('int64')), 'absolute_arm_qpos': List(Value('int64')), 'absolute_hand_qpos': List(Value('int64'))}, 'action_reference': Value('string'), 'deployment_semantics': Value('string'), 'urdf_path': Value('string'), 'urdf_sha256': Value('string'), 'arm_joint_names': List(Value('string')), 'hand_joint_names': List(Value('string')), 'ee_frame': Value('string'), 'arm_dof': Value('int64'), 'hand_dof': Value('int64')}}, 'audio_provenance': {'source_sample_rates_hz': List(Value('int64')), 'target_sample_rate_hz': Value('int64'), 'resampling': Value('string'), 'context_shape': List(Value('int64')), 'context_duration_s': Value('float64'), 'latency_s': Value('float64'), 'latency_s_by_key': {'mic_r': 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 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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repo_id
string
fps
float64
state_dim
int64
action_dim
int64
episodes
list
hardware_provenance
dict
audio_provenance
dict
iei/xarm_whiteboard_pro_20260824_20260901_qpos_ee_state_v1
20
37
28
[ { "episode_index": 0, "split": "train", "task": "whiteboard-pro", "num_frames": 1057, "frame_index_start": 0, "frame_index_end": 1057 }, { "episode_index": 1, "split": "train", "task": "whiteboard-pro", "num_frames": 863, "frame_index_start": 1057, "frame_index_en...
{ "hand_type": "xhand_pro", "state_layout": { "arm_dof": 7, "hand_dof": 21 }, "tactile": { "format": "iei-xhand-pro-touch-v1", "sensor_ids": [ 1, 2, 3, 5, 6, 7, 9, 10, 11, 13, 14, 15, 17, 18, 19, 30, ...
{ "source_sample_rates_hz": [ 48000 ], "target_sample_rate_hz": 16000, "resampling": "scipy.signal.resample_poly", "context_shape": [ 120, 800 ], "context_duration_s": 6, "latency_s": -0.3329317569732666, "latency_s_by_key": { "mic_r": -0.3329317569732666 } }
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