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
fps: int64
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>> (... 2360 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, retime.left_idle: 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
child 3, retime.right_idle: 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
child 4, retime.overlap: 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
child 5, retime.source_seed: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child
...
hild 13, is_depth_map: bool
child 13, timestamp: 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
child 14, frame_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
child 15, episode_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
child 16, 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
child 17, 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
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
data_path: string
video_path: string
robot_type: string
splits: struct<train: string>
child 0, train: string
task: string
success: bool
episodes: int64
unique_seeds: list<item: int64>
child 0, item: int64
path: string
frames: int64
variant: string
exporter_commit: string
to
{'task': Value('string'), 'variant': Value('string'), 'episodes': Value('int64'), 'frames': Value('int64'), 'unique_seeds': List(Value('int64')), 'path': Value('string'), 'codebase_version': Value('string'), 'fps': Value('int64'), 'success': Value('bool'), 'exporter_commit': 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
fps: int64
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>> (... 2360 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, retime.left_idle: 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
child 3, retime.right_idle: 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
child 4, retime.overlap: 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
child 5, retime.source_seed: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child
...
hild 13, is_depth_map: bool
child 13, timestamp: 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
child 14, frame_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
child 15, episode_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
child 16, 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
child 17, 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
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
data_path: string
video_path: string
robot_type: string
splits: struct<train: string>
child 0, train: string
task: string
success: bool
episodes: int64
unique_seeds: list<item: int64>
child 0, item: int64
path: string
frames: int64
variant: string
exporter_commit: string
to
{'task': Value('string'), 'variant': Value('string'), 'episodes': Value('int64'), 'frames': Value('int64'), 'unique_seeds': List(Value('int64')), 'path': Value('string'), 'codebase_version': Value('string'), 'fps': Value('int64'), 'success': Value('bool'), 'exporter_commit': 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.
ctr-scan-object-uniform-20260911
Complete paired corrected release
Task: scan_object; timing: uniform. 100 successful episodes, 28210 frames, 25 FPS, LeRobot v3.0.
The collection now contains all 750 successful trajectories. Previously missing 21 trajectories were repaired by restoring the original gripper initialization and scene settling sequence before frozen-control replay. All original seed sets, object identities, control hashes and timing offsets were preserved; no replanning or relaxed collision/success gates. Each task has 50 concurrent, 50 left-first, 50 right-first and 100 uniform episodes using the same original 50 seeds across timing variants.
Ray tracing with OIDN2.5.1, 32 samples/pixel, path depth8; centered_fovy90 wrists at 320x240 and near=0.005m. Measured gripper state is recorded separately from commands. This revision supersedes the successful-only incomplete release; historical revisions remain available. Lifecycle: reported, audit pending.
Included seeds: 5, 7, 9, 12, 26, 30, 34, 58, 59, 71, 75, 76, 78, 82, 84, 86, 87, 90, 95, 98, 107, 118, 119, 127, 130, 135, 138, 141, 146, 150, 151, 152, 154, 155, 159, 160, 164, 170, 172, 174, 185, 187, 189, 190, 191, 200, 201, 202, 205, 211
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