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
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>> (... 992 chars omitted)
child 0, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 1, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 2, observation.images.third_person: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 157 chars omitted)
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 3, info: struct<video.height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
child 0, video.height: int64
...
l>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 9, 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
camera_group: string
renderer_backend: string
state_semantics: string
model_id: string
episode_sidecar_dir: string
attempt_commit_dir: string
action_feature: string
action_semantics: string
camera_features: struct<third_person: struct<source_camera_name: string, logical_camera_name: string, image_feature: (... 256 chars omitted)
child 0, third_person: struct<source_camera_name: string, logical_camera_name: string, image_feature: string, intrinsics_fe (... 234 chars omitted)
child 0, source_camera_name: string
child 1, logical_camera_name: string
child 2, image_feature: string
child 3, intrinsics_feature: string
child 4, camera_to_world_feature: string
child 5, intrinsics_storage: string
child 6, intrinsics_source_shape: list<item: int64>
child 0, item: int64
child 7, camera_to_world_storage: string
child 8, camera_to_world_source_shape: list<item: int64>
child 0, item: int64
child 9, camera_frame_convention: string
state_feature: string
repo_id: string
embodiment_id: string
dataset_path: string
camera_feature_provenance: string
task_id: int64
task_name: string
to
{'task_id': Value('int64'), 'task_name': Value('string'), 'embodiment_id': Value('string'), 'model_id': Value('string'), 'repo_id': Value('string'), 'dataset_path': Value('string'), 'renderer_backend': Value('string'), 'state_feature': Value('string'), 'state_semantics': Value('string'), 'action_feature': Value('string'), 'action_semantics': Value('string'), 'camera_features': {'third_person': {'source_camera_name': Value('string'), 'logical_camera_name': Value('string'), 'image_feature': Value('string'), 'intrinsics_feature': Value('string'), 'camera_to_world_feature': Value('string'), 'intrinsics_storage': Value('string'), 'intrinsics_source_shape': List(Value('int64')), 'camera_to_world_storage': Value('string'), 'camera_to_world_source_shape': List(Value('int64')), 'camera_frame_convention': Value('string')}}, 'camera_feature_provenance': Value('string'), 'episode_sidecar_dir': Value('string'), 'attempt_commit_dir': Value('string'), 'camera_group': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/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
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>> (... 992 chars omitted)
child 0, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 1, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 2, observation.images.third_person: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 157 chars omitted)
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 3, info: struct<video.height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
child 0, video.height: int64
...
l>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 9, 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
camera_group: string
renderer_backend: string
state_semantics: string
model_id: string
episode_sidecar_dir: string
attempt_commit_dir: string
action_feature: string
action_semantics: string
camera_features: struct<third_person: struct<source_camera_name: string, logical_camera_name: string, image_feature: (... 256 chars omitted)
child 0, third_person: struct<source_camera_name: string, logical_camera_name: string, image_feature: string, intrinsics_fe (... 234 chars omitted)
child 0, source_camera_name: string
child 1, logical_camera_name: string
child 2, image_feature: string
child 3, intrinsics_feature: string
child 4, camera_to_world_feature: string
child 5, intrinsics_storage: string
child 6, intrinsics_source_shape: list<item: int64>
child 0, item: int64
child 7, camera_to_world_storage: string
child 8, camera_to_world_source_shape: list<item: int64>
child 0, item: int64
child 9, camera_frame_convention: string
state_feature: string
repo_id: string
embodiment_id: string
dataset_path: string
camera_feature_provenance: string
task_id: int64
task_name: string
to
{'task_id': Value('int64'), 'task_name': Value('string'), 'embodiment_id': Value('string'), 'model_id': Value('string'), 'repo_id': Value('string'), 'dataset_path': Value('string'), 'renderer_backend': Value('string'), 'state_feature': Value('string'), 'state_semantics': Value('string'), 'action_feature': Value('string'), 'action_semantics': Value('string'), 'camera_features': {'third_person': {'source_camera_name': Value('string'), 'logical_camera_name': Value('string'), 'image_feature': Value('string'), 'intrinsics_feature': Value('string'), 'camera_to_world_feature': Value('string'), 'intrinsics_storage': Value('string'), 'intrinsics_source_shape': List(Value('int64')), 'camera_to_world_storage': Value('string'), 'camera_to_world_source_shape': List(Value('int64')), 'camera_frame_convention': Value('string')}}, 'camera_feature_provenance': Value('string'), 'episode_sidecar_dir': Value('string'), 'attempt_commit_dir': Value('string'), 'camera_group': Value('string')}
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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