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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
state: struct<left_leg: struct<start: int64, end: int64>, right_leg: struct<start: int64, end: int64>, wais (... 562 chars omitted)
  child 0, left_leg: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 1, right_leg: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 2, waist: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 3, left_arm: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 4, left_hand: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 5, right_arm: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 6, right_hand: struct<start: int64, end: int64>
      child 0, start: int64
      child 1, end: int64
  child 7, left_wrist_pos: struct<start: int64, end: int64, original_key: string>
      child 0, start: int64
      child 1, end: int64
      child 2, original_key: string
  child 8, left_wrist_abs_quat: struct<start: int64, end: int64, original_key: string, rotation_type: string>
      child 0, start: int64
      child 1, end: int64
      child 2, original_key: string
      child 3, rotation_type: string
  child 9, right_wrist_pos: struct<start: int64, end: int64, original_key: string>
      child 0, start: int64
      child 1, end: int64
      child 2, original_key: string
  child 10, right_wrist_abs_
...
: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 11, index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 12, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
total_videos: int64
data_collection_info: struct<lower_body_policy: null, wbc_model_path: null, teleoperator_username: null, support_operator_ (... 51 chars omitted)
  child 0, lower_body_policy: null
  child 1, wbc_model_path: null
  child 2, teleoperator_username: null
  child 3, support_operator_username: null
  child 4, robot_type: string
  child 5, robot_id: null
robot_type: null
total_frames: int64
total_episodes: int64
script_config: struct<source_dataset: string, source_format: string, source_fps: int64, hand_type: string, hand_dof (... 32 chars omitted)
  child 0, source_dataset: string
  child 1, source_format: string
  child 2, source_fps: int64
  child 3, hand_type: string
  child 4, hand_dof: int64
  child 5, converted_from: string
discarded_episode_indices: list<item: null>
  child 0, item: null
chunks_size: int64
total_tasks: int64
splits: struct<train: string>
  child 0, train: string
data_path: string
to
{'codebase_version': Value('string'), 'robot_type': Value('null'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'total_videos': Value('int64'), 'total_chunks': Value('int64'), 'chunks_size': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'data_path': Value('string'), 'video_path': Value('string'), 'features': {'observation.images.ego_view': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'observation.eef_state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'action.eef': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'observation.img_state_delta': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('string')}, 'teleop.navigate_command': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'teleop.base_height_command': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('string')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}, 'script_config': {'source_dataset': Value('string'), 'source_format': Value('string'), 'source_fps': Value('int64'), 'hand_type': Value('string'), 'hand_dof': Value('int64'), 'converted_from': Value('string')}, 'discarded_episode_indices': List(Value('null')), 'data_collection_info': {'lower_body_policy': Value('null'), 'wbc_model_path': Value('null'), 'teleoperator_username': Value('null'), 'support_operator_username': Value('null'), 'robot_type': Value('string'), 'robot_id': Value('null')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              state: struct<left_leg: struct<start: int64, end: int64>, right_leg: struct<start: int64, end: int64>, wais (... 562 chars omitted)
                child 0, left_leg: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 1, right_leg: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 2, waist: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 3, left_arm: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 4, left_hand: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 5, right_arm: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 6, right_hand: struct<start: int64, end: int64>
                    child 0, start: int64
                    child 1, end: int64
                child 7, left_wrist_pos: struct<start: int64, end: int64, original_key: string>
                    child 0, start: int64
                    child 1, end: int64
                    child 2, original_key: string
                child 8, left_wrist_abs_quat: struct<start: int64, end: int64, original_key: string, rotation_type: string>
                    child 0, start: int64
                    child 1, end: int64
                    child 2, original_key: string
                    child 3, rotation_type: string
                child 9, right_wrist_pos: struct<start: int64, end: int64, original_key: string>
                    child 0, start: int64
                    child 1, end: int64
                    child 2, original_key: string
                child 10, right_wrist_abs_
              ...
              : int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 11, index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 12, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
              total_videos: int64
              data_collection_info: struct<lower_body_policy: null, wbc_model_path: null, teleoperator_username: null, support_operator_ (... 51 chars omitted)
                child 0, lower_body_policy: null
                child 1, wbc_model_path: null
                child 2, teleoperator_username: null
                child 3, support_operator_username: null
                child 4, robot_type: string
                child 5, robot_id: null
              robot_type: null
              total_frames: int64
              total_episodes: int64
              script_config: struct<source_dataset: string, source_format: string, source_fps: int64, hand_type: string, hand_dof (... 32 chars omitted)
                child 0, source_dataset: string
                child 1, source_format: string
                child 2, source_fps: int64
                child 3, hand_type: string
                child 4, hand_dof: int64
                child 5, converted_from: string
              discarded_episode_indices: list<item: null>
                child 0, item: null
              chunks_size: int64
              total_tasks: int64
              splits: struct<train: string>
                child 0, train: string
              data_path: string
              to
              {'codebase_version': Value('string'), 'robot_type': Value('null'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'total_videos': Value('int64'), 'total_chunks': Value('int64'), 'chunks_size': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'data_path': Value('string'), 'video_path': Value('string'), 'features': {'observation.images.ego_view': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'observation.eef_state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'action.eef': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'observation.img_state_delta': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('string')}, 'teleop.navigate_command': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'teleop.base_height_command': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('string')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}, 'script_config': {'source_dataset': Value('string'), 'source_format': Value('string'), 'source_fps': Value('int64'), 'hand_type': Value('string'), 'hand_dof': Value('int64'), 'converted_from': Value('string')}, 'discarded_episode_indices': List(Value('null')), 'data_collection_info': {'lower_body_policy': Value('null'), 'wbc_model_path': Value('null'), 'teleoperator_username': Value('null'), 'support_operator_username': Value('null'), 'robot_type': Value('string'), 'robot_id': Value('null')}}
              because column names don't match

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