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
format: string
fps: int64
task: string
episodes: list<item: struct<episode_index: int64, path: string, frames: int64, metadata: string, data: string> (... 1 chars omitted)
child 0, item: struct<episode_index: int64, path: string, frames: int64, metadata: string, data: string>
child 0, episode_index: int64
child 1, path: string
child 2, frames: int64
child 3, metadata: string
child 4, data: string
raw_controller_columns: list<item: string>
child 0, item: string
controls: string
episode_index: int64
offsets: struct<left_controller_to_hand_root: list<item: double>, right_controller_to_hand_root: list<item: d (... 100 chars omitted)
child 0, left_controller_to_hand_root: list<item: double>
child 0, item: double
child 1, right_controller_to_hand_root: list<item: double>
child 0, item: double
child 2, left_hand_root_to_camera: list<item: double>
child 0, item: double
child 3, right_hand_root_to_camera: list<item: double>
child 0, item: double
pose_convention: string
pose_vector: list<item: string>
child 0, item: string
controller_to_hand_root_source: string
relative_definition: string
ee_tcp_columns: list<item: string>
child 0, item: string
frame_count: int64
cameras: list<item: struct<name: string, index: int64>>
child 0, item: struct<name: string, index: int64>
child 0, name: string
child 1, index: int64
to
{'format': Value('string'), 'episode_index': Value('int64'), 'task': Value('string'), 'fps': Value('int64'), 'frame_count': Value('int64'), 'pose_vector': List(Value('string')), 'pose_convention': Value('string'), 'relative_definition': Value('string'), 'controller_to_hand_root_source': Value('string'), 'raw_controller_columns': List(Value('string')), 'ee_tcp_columns': List(Value('string')), 'offsets': {'left_controller_to_hand_root': List(Value('float64')), 'right_controller_to_hand_root': List(Value('float64')), 'left_hand_root_to_camera': List(Value('float64')), 'right_hand_root_to_camera': List(Value('float64'))}, 'cameras': List({'name': Value('string'), 'index': Value('int64')}), 'controls': 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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
format: string
fps: int64
task: string
episodes: list<item: struct<episode_index: int64, path: string, frames: int64, metadata: string, data: string> (... 1 chars omitted)
child 0, item: struct<episode_index: int64, path: string, frames: int64, metadata: string, data: string>
child 0, episode_index: int64
child 1, path: string
child 2, frames: int64
child 3, metadata: string
child 4, data: string
raw_controller_columns: list<item: string>
child 0, item: string
controls: string
episode_index: int64
offsets: struct<left_controller_to_hand_root: list<item: double>, right_controller_to_hand_root: list<item: d (... 100 chars omitted)
child 0, left_controller_to_hand_root: list<item: double>
child 0, item: double
child 1, right_controller_to_hand_root: list<item: double>
child 0, item: double
child 2, left_hand_root_to_camera: list<item: double>
child 0, item: double
child 3, right_hand_root_to_camera: list<item: double>
child 0, item: double
pose_convention: string
pose_vector: list<item: string>
child 0, item: string
controller_to_hand_root_source: string
relative_definition: string
ee_tcp_columns: list<item: string>
child 0, item: string
frame_count: int64
cameras: list<item: struct<name: string, index: int64>>
child 0, item: struct<name: string, index: int64>
child 0, name: string
child 1, index: int64
to
{'format': Value('string'), 'episode_index': Value('int64'), 'task': Value('string'), 'fps': Value('int64'), 'frame_count': Value('int64'), 'pose_vector': List(Value('string')), 'pose_convention': Value('string'), 'relative_definition': Value('string'), 'controller_to_hand_root_source': Value('string'), 'raw_controller_columns': List(Value('string')), 'ee_tcp_columns': List(Value('string')), 'offsets': {'left_controller_to_hand_root': List(Value('float64')), 'right_controller_to_hand_root': List(Value('float64')), 'left_hand_root_to_camera': List(Value('float64')), 'right_hand_root_to_camera': List(Value('float64'))}, 'cameras': List({'name': Value('string'), 'index': Value('int64')}), 'controls': 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.
PICO Dataset TCP 01
Ultima modificacion: 2026-07-06 19:27:55 -05 -0500
Dataset portable HandUMI grabado con PICO/XRoboToolkit.
Resumen
- 6 episodios.
observation.pico.left_controller_poseyobservation.pico.right_controller_pose: poses raw de controllers PICO.observation.pose.left_hand_root.absoluteyobservation.pose.right_hand_root.absolute: poses TCP/EE fisicas del UMI concontroller -> TCPya aplicado.action.pose.*_hand_root.relative: acciones relativas temporales sobre el TCP/EE.- Videos egocentricos de camara
centerpor episodio.
Descripcion Inicial
- Episodios 0, 1, 2: inicio con grippers apuntando hacia adelante, estilo Piper.
- Episodios 3, 4, 5: inicio con grippers apuntando hacia abajo, estilo OpenArm.
La descripcion detallada por episodio queda pendiente de completar despues de revisar los videos.
Visualizacion Local
Ver TCP/EE calibrado:
uv run handumi-ik-inspect-raw --dataset-dir pico_dataset_tcp_01 -e 0 \
--pose-source tcp --hide-trackers
Ver controllers raw:
uv run handumi-ik-inspect-raw --dataset-dir pico_dataset_tcp_01 -e 0 \
--pose-source controller --hide-trackers
Simulacion IK:
uv run handumi-ik-sim-yubi-relative --dataset-dir pico_dataset_tcp_01 \
-e 0 --robot piper
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