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
chunks_size: int64
codebase_version: string
data_files_size_in_mb: int64
data_path: string
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, episode_i (... 2360 chars omitted)
child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, episode_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 2, frame_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 3, index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 4, observation.images.left_wrist: struct<dtype: string, info: struct<has_audio: bool, is_depth_map: bool, video.channels: int64, video (... 293 chars omitted)
child 0, dtype: string
child 1, info: struct<has_audio: bool, is_depth_map: bool, video.channels: int64, video.codec: string, video.crf: i (... 211 chars omitted)
child 0, has_audio: bo
...
t<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 16, task_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 17, timestamp: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
fps: int64
robot_type: string
splits: struct<train: string>
child 0, train: string
total_episodes: int64
total_frames: int64
total_tasks: int64
video_files_size_in_mb: int64
video_path: string
status: string
findings: list<item: struct<changed_frames: int64, episode_index: int64, first_gripper_command_step: int64, in (... 196 chars omitted)
child 0, item: struct<changed_frames: int64, episode_index: int64, first_gripper_command_step: int64, initial_measu (... 184 chars omitted)
child 0, changed_frames: int64
child 1, episode_index: int64
child 2, first_gripper_command_step: int64
child 3, initial_measured_gripper: double
child 4, inspected_pre_grasp_frames: int64
child 5, observation_values_preserved: bool
child 6, seed: int64
child 7, side: string
child 8, source_index_trace_sha256: string
child 9, source_program_sha256: string
remaining_stale_labels: int64
to
{'findings': List({'changed_frames': Value('int64'), 'episode_index': Value('int64'), 'first_gripper_command_step': Value('int64'), 'initial_measured_gripper': Value('float64'), 'inspected_pre_grasp_frames': Value('int64'), 'observation_values_preserved': Value('bool'), 'seed': Value('int64'), 'side': Value('string'), 'source_index_trace_sha256': Value('string'), 'source_program_sha256': Value('string')}), 'remaining_stale_labels': Value('int64'), 'status': 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
chunks_size: int64
codebase_version: string
data_files_size_in_mb: int64
data_path: string
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, episode_i (... 2360 chars omitted)
child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, episode_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 2, frame_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 3, index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 4, observation.images.left_wrist: struct<dtype: string, info: struct<has_audio: bool, is_depth_map: bool, video.channels: int64, video (... 293 chars omitted)
child 0, dtype: string
child 1, info: struct<has_audio: bool, is_depth_map: bool, video.channels: int64, video.codec: string, video.crf: i (... 211 chars omitted)
child 0, has_audio: bo
...
t<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 16, task_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 17, timestamp: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
fps: int64
robot_type: string
splits: struct<train: string>
child 0, train: string
total_episodes: int64
total_frames: int64
total_tasks: int64
video_files_size_in_mb: int64
video_path: string
status: string
findings: list<item: struct<changed_frames: int64, episode_index: int64, first_gripper_command_step: int64, in (... 196 chars omitted)
child 0, item: struct<changed_frames: int64, episode_index: int64, first_gripper_command_step: int64, initial_measu (... 184 chars omitted)
child 0, changed_frames: int64
child 1, episode_index: int64
child 2, first_gripper_command_step: int64
child 3, initial_measured_gripper: double
child 4, inspected_pre_grasp_frames: int64
child 5, observation_values_preserved: bool
child 6, seed: int64
child 7, side: string
child 8, source_index_trace_sha256: string
child 9, source_program_sha256: string
remaining_stale_labels: int64
to
{'findings': List({'changed_frames': Value('int64'), 'episode_index': Value('int64'), 'first_gripper_command_step': Value('int64'), 'initial_measured_gripper': Value('float64'), 'inspected_pre_grasp_frames': Value('int64'), 'observation_values_preserved': Value('bool'), 'seed': Value('int64'), 'side': Value('string'), 'source_index_trace_sha256': Value('string'), 'source_program_sha256': Value('string')}), 'remaining_stale_labels': Value('int64'), 'status': 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.
Scan Object Sequential50
Q4-A non-CTR Sequential training data containing 50 whole Scan Object episodes: 25 physical L->R schedules and 25 physical R->L schedules. The dataset keeps each frozen training scene seed exactly once. Even source slots select L->R and odd source slots select R->L.
Both parent revisions share the same source program, calibrated
centered_fovy90 cameras and scanning-tail control hash for every paired scene.
No frame-level trajectory splicing or scene replacement is used.
The two parent MP4 containers for each camera are retained byte-for-byte at separate file indexes. Episode metadata exposes only the selected whole-episode segments. Every selected video frame is decoded during qualification and image statistics are recomputed from exact RGB histograms; no selected frame is transcoded.
IdleMask is disabled. The output drops the parent-only
observation.arm_active_mask field and training must not recreate or consume
it. Training consumers must compute exact global normalization statistics over
valid samples from this immutable output revision.
- Downloads last month
- 148