Dataset Viewer
The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
No dataset card yet
- Downloads last month
- 7