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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
timestamps: list<item: double>
child 0, item: double
camera: struct<source: string, T_world_camera: list<item: list<item: list<item: double>>>, intrinsics: list< (... 69 chars omitted)
child 0, source: string
child 1, T_world_camera: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, intrinsics: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, image_size: list<item: int64>
child 0, item: int64
metadata: struct<provider: string, video_path: string, img_focal: double, geometry_provider: string>
child 0, provider: string
child 1, video_path: string
child 2, img_focal: double
child 3, geometry_provider: string
left_hand: struct<T_camera_wrist: list<item: list<item: list<item: double>>>, T_world_wrist: list<item: list<it (... 261 chars omitted)
child 0, T_camera_wrist: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, T_world_wrist: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, mano_pose: list<item: list<item: double>>
...
ld 0, item: list<item: double>
child 0, item: double
child 1, T_world_wrist: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, mano_pose: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, mano_shape: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, joints_camera: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 5, joints_world: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 6, confidence: list<item: double>
child 0, item: double
depth: struct<source: string, timestamps: list<item: double>, metric_depth: struct<format: string, frame_co (... 67 chars omitted)
child 0, source: string
child 1, timestamps: list<item: double>
child 0, item: double
child 2, metric_depth: struct<format: string, frame_count: int64, artifact: string, key: string, confidence_key: string>
child 0, format: string
child 1, frame_count: int64
child 2, artifact: string
child 3, key: string
child 4, confidence_key: string
to
{'timestamps': List(Value('float64')), 'camera': {'T_world_camera': List(List(List(Value('float64')))), 'units': Value('string'), 'source': Value('string')}, 'metadata': {'provider': Value('string'), 'video_path': Value('string'), 'img_focal': Value('float64')}, 'left_hand': {'T_camera_wrist': List(List(List(Value('float64')))), 'T_world_wrist': List(List(List(Value('float64')))), 'mano_pose': List(List(Value('float64'))), 'mano_shape': List(List(Value('float64'))), 'joints_camera': List(List(List(Value('float64')))), 'joints_world': List(List(List(Value('float64')))), 'confidence': List(Value('float64'))}, 'right_hand': {'T_camera_wrist': List(List(List(Value('float64')))), 'T_world_wrist': List(List(List(Value('float64')))), 'mano_pose': List(List(Value('float64'))), 'mano_shape': List(List(Value('float64'))), 'joints_camera': List(List(List(Value('float64')))), 'joints_world': List(List(List(Value('float64')))), 'confidence': List(Value('float64'))}}
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 299, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
timestamps: list<item: double>
child 0, item: double
camera: struct<source: string, T_world_camera: list<item: list<item: list<item: double>>>, intrinsics: list< (... 69 chars omitted)
child 0, source: string
child 1, T_world_camera: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, intrinsics: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, image_size: list<item: int64>
child 0, item: int64
metadata: struct<provider: string, video_path: string, img_focal: double, geometry_provider: string>
child 0, provider: string
child 1, video_path: string
child 2, img_focal: double
child 3, geometry_provider: string
left_hand: struct<T_camera_wrist: list<item: list<item: list<item: double>>>, T_world_wrist: list<item: list<it (... 261 chars omitted)
child 0, T_camera_wrist: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, T_world_wrist: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, mano_pose: list<item: list<item: double>>
...
ld 0, item: list<item: double>
child 0, item: double
child 1, T_world_wrist: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, mano_pose: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, mano_shape: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, joints_camera: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 5, joints_world: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 6, confidence: list<item: double>
child 0, item: double
depth: struct<source: string, timestamps: list<item: double>, metric_depth: struct<format: string, frame_co (... 67 chars omitted)
child 0, source: string
child 1, timestamps: list<item: double>
child 0, item: double
child 2, metric_depth: struct<format: string, frame_count: int64, artifact: string, key: string, confidence_key: string>
child 0, format: string
child 1, frame_count: int64
child 2, artifact: string
child 3, key: string
child 4, confidence_key: string
to
{'timestamps': List(Value('float64')), 'camera': {'T_world_camera': List(List(List(Value('float64')))), 'units': Value('string'), 'source': Value('string')}, 'metadata': {'provider': Value('string'), 'video_path': Value('string'), 'img_focal': Value('float64')}, 'left_hand': {'T_camera_wrist': List(List(List(Value('float64')))), 'T_world_wrist': List(List(List(Value('float64')))), 'mano_pose': List(List(Value('float64'))), 'mano_shape': List(List(Value('float64'))), 'joints_camera': List(List(List(Value('float64')))), 'joints_world': List(List(List(Value('float64')))), 'confidence': List(Value('float64'))}, 'right_hand': {'T_camera_wrist': List(List(List(Value('float64')))), 'T_world_wrist': List(List(List(Value('float64')))), 'mano_pose': List(List(Value('float64'))), 'mano_shape': List(List(Value('float64'))), 'joints_camera': List(List(List(Value('float64')))), 'joints_world': List(List(List(Value('float64')))), 'confidence': List(Value('float64'))}}
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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