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
t_ns: int64
label: string
has_ee_pose: bool
instruction: string
crf: int64
task_name: string
fps: int64
stacked_resolution: list<item: int64>
child 0, item: int64
camera_resolutions: struct<top: list<item: int64>, left: list<item: int64>, right: list<item: int64>>
child 0, top: list<item: int64>
child 0, item: int64
child 1, left: list<item: int64>
child 0, item: int64
child 2, right: list<item: int64>
child 0, item: int64
episode_metadata: struct<session_id: string, operator_id: string, task_name: string, duration: string, top_camera_widt (... 431 chars omitted)
child 0, session_id: string
child 1, operator_id: string
child 2, task_name: string
child 3, duration: string
child 4, top_camera_width: string
child 5, top_camera_height: string
child 6, top_camera_type: string
child 7, top_camera_polling_fps: string
child 8, top_camera_auto_exposure: string
child 9, left_camera_width: string
child 10, left_camera_height: string
child 11, left_camera_type: string
child 12, left_camera_polling_fps: string
child 13, left_camera_auto_exposure: string
child 14, right_camera_width: string
child 15, right_camera_height: string
child 16, right_camera_type: string
child 17, right_camera_polling_fps: string
child 18, right_camera_auto_exposure: string
view_row_bands: struct<top: list<item: int64>, left: list<item: int64>, right: list<item: int64>>
child 0, top: list<item: int64>
child 0, item: int64
child 1, left: list<item: int64>
child 0, item: int64
child 2, right: list<item: int64>
child 0, item: int64
camera_calibration: struct</left-wrist-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<i (... 224 chars omitted)
child 0, /left-wrist-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<item: double>>
child 0, width: int64
child 1, height: int64
child 2, K: list<item: double>
child 0, item: double
child 3, D: list<item: double>
child 0, item: double
child 1, /right-wrist-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<item: double>>
child 0, width: int64
child 1, height: int64
child 2, K: list<item: double>
child 0, item: double
child 3, D: list<item: double>
child 0, item: double
child 2, /top-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<item: double>>
child 0, width: int64
child 1, height: int64
child 2, K: list<item: double>
child 0, item: double
child 3, D: list<item: double>
child 0, item: double
alignment: string
source: struct<mcap: string, task_dir: string, episode_dir: string>
child 0, mcap: string
child 1, task_dir: string
child 2, episode_dir: string
cameras: list<item: string>
child 0, item: string
exporter: string
has_subtasks: bool
tick_ns: int64
num_steps: int64
t0_ns: int64
to
{'task_name': Value('string'), 'cameras': List(Value('string')), 'camera_resolutions': {'top': List(Value('int64')), 'left': List(Value('int64')), 'right': List(Value('int64'))}, 'stacked_resolution': List(Value('int64')), 'view_row_bands': {'top': List(Value('int64')), 'left': List(Value('int64')), 'right': List(Value('int64'))}, 'alignment': Value('string'), 't0_ns': Value('int64'), 'tick_ns': Value('int64'), 'num_steps': Value('int64'), 'fps': Value('int64'), 'crf': Value('int64'), 'instruction': Value('string'), 'camera_calibration': {'/left-wrist-camera-info': {'width': Value('int64'), 'height': Value('int64'), 'K': List(Value('float64')), 'D': List(Value('float64'))}, '/right-wrist-camera-info': {'width': Value('int64'), 'height': Value('int64'), 'K': List(Value('float64')), 'D': List(Value('float64'))}, '/top-camera-info': {'width': Value('int64'), 'height': Value('int64'), 'K': List(Value('float64')), 'D': List(Value('float64'))}}, 'episode_metadata': {'session_id': Value('string'), 'operator_id': Value('string'), 'task_name': Value('string'), 'duration': Value('string'), 'top_camera_width': Value('string'), 'top_camera_height': Value('string'), 'top_camera_type': Value('string'), 'top_camera_polling_fps': Value('string'), 'top_camera_auto_exposure': Value('string'), 'left_camera_width': Value('string'), 'left_camera_height': Value('string'), 'left_camera_type': Value('string'), 'left_camera_polling_fps': Value('string'), 'left_camera_auto_exposure': Value('string'), 'right_camera_width': Value('string'), 'right_camera_height': Value('string'), 'right_camera_type': Value('string'), 'right_camera_polling_fps': Value('string'), 'right_camera_auto_exposure': Value('string')}, 'has_ee_pose': Value('bool'), 'has_subtasks': Value('bool'), 'source': {'mcap': Value('string'), 'task_dir': Value('string'), 'episode_dir': Value('string')}, 'exporter': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
t_ns: int64
label: string
has_ee_pose: bool
instruction: string
crf: int64
task_name: string
fps: int64
stacked_resolution: list<item: int64>
child 0, item: int64
camera_resolutions: struct<top: list<item: int64>, left: list<item: int64>, right: list<item: int64>>
child 0, top: list<item: int64>
child 0, item: int64
child 1, left: list<item: int64>
child 0, item: int64
child 2, right: list<item: int64>
child 0, item: int64
episode_metadata: struct<session_id: string, operator_id: string, task_name: string, duration: string, top_camera_widt (... 431 chars omitted)
child 0, session_id: string
child 1, operator_id: string
child 2, task_name: string
child 3, duration: string
child 4, top_camera_width: string
child 5, top_camera_height: string
child 6, top_camera_type: string
child 7, top_camera_polling_fps: string
child 8, top_camera_auto_exposure: string
child 9, left_camera_width: string
child 10, left_camera_height: string
child 11, left_camera_type: string
child 12, left_camera_polling_fps: string
child 13, left_camera_auto_exposure: string
child 14, right_camera_width: string
child 15, right_camera_height: string
child 16, right_camera_type: string
child 17, right_camera_polling_fps: string
child 18, right_camera_auto_exposure: string
view_row_bands: struct<top: list<item: int64>, left: list<item: int64>, right: list<item: int64>>
child 0, top: list<item: int64>
child 0, item: int64
child 1, left: list<item: int64>
child 0, item: int64
child 2, right: list<item: int64>
child 0, item: int64
camera_calibration: struct</left-wrist-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<i (... 224 chars omitted)
child 0, /left-wrist-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<item: double>>
child 0, width: int64
child 1, height: int64
child 2, K: list<item: double>
child 0, item: double
child 3, D: list<item: double>
child 0, item: double
child 1, /right-wrist-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<item: double>>
child 0, width: int64
child 1, height: int64
child 2, K: list<item: double>
child 0, item: double
child 3, D: list<item: double>
child 0, item: double
child 2, /top-camera-info: struct<width: int64, height: int64, K: list<item: double>, D: list<item: double>>
child 0, width: int64
child 1, height: int64
child 2, K: list<item: double>
child 0, item: double
child 3, D: list<item: double>
child 0, item: double
alignment: string
source: struct<mcap: string, task_dir: string, episode_dir: string>
child 0, mcap: string
child 1, task_dir: string
child 2, episode_dir: string
cameras: list<item: string>
child 0, item: string
exporter: string
has_subtasks: bool
tick_ns: int64
num_steps: int64
t0_ns: int64
to
{'task_name': Value('string'), 'cameras': List(Value('string')), 'camera_resolutions': {'top': List(Value('int64')), 'left': List(Value('int64')), 'right': List(Value('int64'))}, 'stacked_resolution': List(Value('int64')), 'view_row_bands': {'top': List(Value('int64')), 'left': List(Value('int64')), 'right': List(Value('int64'))}, 'alignment': Value('string'), 't0_ns': Value('int64'), 'tick_ns': Value('int64'), 'num_steps': Value('int64'), 'fps': Value('int64'), 'crf': Value('int64'), 'instruction': Value('string'), 'camera_calibration': {'/left-wrist-camera-info': {'width': Value('int64'), 'height': Value('int64'), 'K': List(Value('float64')), 'D': List(Value('float64'))}, '/right-wrist-camera-info': {'width': Value('int64'), 'height': Value('int64'), 'K': List(Value('float64')), 'D': List(Value('float64'))}, '/top-camera-info': {'width': Value('int64'), 'height': Value('int64'), 'K': List(Value('float64')), 'D': List(Value('float64'))}}, 'episode_metadata': {'session_id': Value('string'), 'operator_id': Value('string'), 'task_name': Value('string'), 'duration': Value('string'), 'top_camera_width': Value('string'), 'top_camera_height': Value('string'), 'top_camera_type': Value('string'), 'top_camera_polling_fps': Value('string'), 'top_camera_auto_exposure': Value('string'), 'left_camera_width': Value('string'), 'left_camera_height': Value('string'), 'left_camera_type': Value('string'), 'left_camera_polling_fps': Value('string'), 'left_camera_auto_exposure': Value('string'), 'right_camera_width': Value('string'), 'right_camera_height': Value('string'), 'right_camera_type': Value('string'), 'right_camera_polling_fps': Value('string'), 'right_camera_auto_exposure': Value('string')}, 'has_ee_pose': Value('bool'), 'has_subtasks': Value('bool'), 'source': {'mcap': Value('string'), 'task_dir': Value('string'), 'episode_dir': Value('string')}, 'exporter': 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.
ABC-130k 640x480 export — 10 example episodes
Ten example episodes (8 train, 2 val, nine tasks) from an internal re-export of ABC-130k. Each episode folder holds the three 640x480 camera views stacked vertically into one 640x1440 H.264 video, the 30 Hz robot states and actions, and the episode metadata.
train/episode_<uuid>/
val/episode_<uuid>/
_census/ lists and per-task tallies of the included episodes
License and attribution
The underlying data is from ABC-130k, released under the Apache License 2.0. This sample re-encodes and reorganizes that data; it is redistributed under the same license.
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