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
observation.state.end.velocity: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
observation.state.end.wrench: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
observation.state.head.position: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
observation.state.waist.position: struct<min: list<item: double>, max: list<item: dou
...
ring
child 3, fps: int64
child 24, timestamp: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 25, frame_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 26, episode_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 27, index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 28, task_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
total_episodes: int64
vendor: string
task_prompt: string
fps: int64
task_id: string
video_files_size_in_mb: int64
location: string
codebase_version: string
duration: double
data_files_size_in_mb: int64
device_type: string
to
{'vendor': Value('string'), 'source': Value('string'), 'timestamp': Value('int64'), 'location': Value('string'), 'device_type': Value('string'), 'robot_type': Value('string'), 'task_id': Value('string'), 'task_prompt': Value('string'), 'data_path': Value('string'), 'video_path': Value('string'), 'duration': Value('float64'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'chunks_size': Value('int64'), 'fps': Value('int64'), 'topic_list': List(Value('string')), 'features': {'observation.images.camera_wrist_left': {'dtype': Value('string'), 'shape': List(Value('int64')), 'video_info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'has_audio': Value('bool'), 'video.pix_fmt': Value('string')}}, 'observation.images.camera_wrist_right': {'dtype': Value('string'), 'shape': List(Value('int64')), 'video_info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'has_audio': Value('bool'), 'video.pix_fmt': Value('string')}}, 'observation.images.camera_top_back': {'dtype': Value('string'), 'shape': List(Value('int64')), 'video_info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'has_audio': Value('bool'), 'video.pix_fmt': Value('st
...
servation.state.joint.effort': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.joint.velocity': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.head.position': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.waist.position': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.robot.position': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}}, 'splits': {'train': Value('string')}, 'codebase_version': Value('string'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64')}
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 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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 310, 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 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
observation.state.end.velocity: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
observation.state.end.wrench: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
observation.state.head.position: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
observation.state.waist.position: struct<min: list<item: double>, max: list<item: dou
...
ring
child 3, fps: int64
child 24, timestamp: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 25, frame_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 26, episode_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 27, index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
child 28, task_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: int64>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 3, fps: int64
total_episodes: int64
vendor: string
task_prompt: string
fps: int64
task_id: string
video_files_size_in_mb: int64
location: string
codebase_version: string
duration: double
data_files_size_in_mb: int64
device_type: string
to
{'vendor': Value('string'), 'source': Value('string'), 'timestamp': Value('int64'), 'location': Value('string'), 'device_type': Value('string'), 'robot_type': Value('string'), 'task_id': Value('string'), 'task_prompt': Value('string'), 'data_path': Value('string'), 'video_path': Value('string'), 'duration': Value('float64'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'chunks_size': Value('int64'), 'fps': Value('int64'), 'topic_list': List(Value('string')), 'features': {'observation.images.camera_wrist_left': {'dtype': Value('string'), 'shape': List(Value('int64')), 'video_info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'has_audio': Value('bool'), 'video.pix_fmt': Value('string')}}, 'observation.images.camera_wrist_right': {'dtype': Value('string'), 'shape': List(Value('int64')), 'video_info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'has_audio': Value('bool'), 'video.pix_fmt': Value('string')}}, 'observation.images.camera_top_back': {'dtype': Value('string'), 'shape': List(Value('int64')), 'video_info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'has_audio': Value('bool'), 'video.pix_fmt': Value('st
...
servation.state.joint.effort': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.joint.velocity': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.head.position': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.waist.position': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'observation.state.robot.position': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'fps': Value('int64')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null'), 'fps': Value('int64')}}, 'splits': {'train': Value('string')}, 'codebase_version': Value('string'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64')}
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.
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