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
schema_version: int64
rig_id: string
calibration_status: string
reference_resolution_px: list<item: int64>
child 0, item: int64
coordinate_system: struct<origin: string, axes: string, pose_convention: string, translation: string>
child 0, origin: string
child 1, axes: string
child 2, pose_convention: string
child 3, translation: string
assumptions: struct<focal_length: string, principal_point: list<item: double>, square_pixels: bool, lens_distorti (... 124 chars omitted)
child 0, focal_length: string
child 1, principal_point: list<item: double>
child 0, item: double
child 2, square_pixels: bool
child 3, lens_distortion: string
child 4, scale_reference: string
child 5, synchronization: string
child 6, landmark_rmse_scope: string
child 7, focal_distance_ambiguity: string
cameras: struct<left: struct<focal_px: double, eye_table_m: list<item: double>, orientation_xyzw_ros: list<it (... 1621 chars omitted)
child 0, left: struct<focal_px: double, eye_table_m: list<item: double>, orientation_xyzw_ros: list<item: double>, (... 463 chars omitted)
child 0, focal_px: double
child 1, eye_table_m: list<item: double>
child 0, item: double
child 2, orientation_xyzw_ros: list<item: double>
child 0, item: double
child 3, rotation_world_from_camera: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, optical_axis_world: list<item: double>
...
camera: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, optical_axis_world: list<item: double>
child 0, item: double
child 5, downward_pitch_deg: double
child 6, landmark_rmse_px: double
child 7, landmark_max_error_px: double
child 8, projected_landmarks_px: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 9, optimizer_success: bool
child 10, source_video: string
child 11, source_sha256: string
child 12, source_video_info: struct<width: int64, height: int64, fps: double, frame_count: int64>
child 0, width: int64
child 1, height: int64
child 2, fps: double
child 3, frame_count: int64
child 13, reference_frame_index: int64
child 14, landmark_ids: list<item: string>
child 0, item: string
full_dataset_quality_passed: bool
checked_at_utc: string
all_seeds_unique: bool
new_video_count: int64
changed_inherited_files: list<item: null>
child 0, item: null
known_inherited_issues: list<item: struct<failures: list<item: string>, scene_id: string>>
child 0, item: struct<failures: list<item: string>, scene_id: string>
child 0, failures: list<item: string>
child 0, item: string
child 1, scene_id: string
new_scene_count: int64
generation_complete: bool
extension_valid: bool
inherited_files_unchanged: bool
to
{'all_seeds_unique': Value('bool'), 'changed_inherited_files': List(Value('null')), 'checked_at_utc': Value('string'), 'extension_valid': Value('bool'), 'full_dataset_quality_passed': Value('bool'), 'generation_complete': Value('bool'), 'inherited_files_unchanged': Value('bool'), 'known_inherited_issues': List({'failures': List(Value('string')), 'scene_id': Value('string')}), 'new_scene_count': Value('int64'), 'new_video_count': Value('int64')}
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
schema_version: int64
rig_id: string
calibration_status: string
reference_resolution_px: list<item: int64>
child 0, item: int64
coordinate_system: struct<origin: string, axes: string, pose_convention: string, translation: string>
child 0, origin: string
child 1, axes: string
child 2, pose_convention: string
child 3, translation: string
assumptions: struct<focal_length: string, principal_point: list<item: double>, square_pixels: bool, lens_distorti (... 124 chars omitted)
child 0, focal_length: string
child 1, principal_point: list<item: double>
child 0, item: double
child 2, square_pixels: bool
child 3, lens_distortion: string
child 4, scale_reference: string
child 5, synchronization: string
child 6, landmark_rmse_scope: string
child 7, focal_distance_ambiguity: string
cameras: struct<left: struct<focal_px: double, eye_table_m: list<item: double>, orientation_xyzw_ros: list<it (... 1621 chars omitted)
child 0, left: struct<focal_px: double, eye_table_m: list<item: double>, orientation_xyzw_ros: list<item: double>, (... 463 chars omitted)
child 0, focal_px: double
child 1, eye_table_m: list<item: double>
child 0, item: double
child 2, orientation_xyzw_ros: list<item: double>
child 0, item: double
child 3, rotation_world_from_camera: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, optical_axis_world: list<item: double>
...
camera: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, optical_axis_world: list<item: double>
child 0, item: double
child 5, downward_pitch_deg: double
child 6, landmark_rmse_px: double
child 7, landmark_max_error_px: double
child 8, projected_landmarks_px: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 9, optimizer_success: bool
child 10, source_video: string
child 11, source_sha256: string
child 12, source_video_info: struct<width: int64, height: int64, fps: double, frame_count: int64>
child 0, width: int64
child 1, height: int64
child 2, fps: double
child 3, frame_count: int64
child 13, reference_frame_index: int64
child 14, landmark_ids: list<item: string>
child 0, item: string
full_dataset_quality_passed: bool
checked_at_utc: string
all_seeds_unique: bool
new_video_count: int64
changed_inherited_files: list<item: null>
child 0, item: null
known_inherited_issues: list<item: struct<failures: list<item: string>, scene_id: string>>
child 0, item: struct<failures: list<item: string>, scene_id: string>
child 0, failures: list<item: string>
child 0, item: string
child 1, scene_id: string
new_scene_count: int64
generation_complete: bool
extension_valid: bool
inherited_files_unchanged: bool
to
{'all_seeds_unique': Value('bool'), 'changed_inherited_files': List(Value('null')), 'checked_at_utc': Value('string'), 'extension_valid': Value('bool'), 'full_dataset_quality_passed': Value('bool'), 'generation_complete': Value('bool'), 'inherited_files_unchanged': Value('bool'), 'known_inherited_issues': List({'failures': List(Value('string')), 'scene_id': Value('string')}), 'new_scene_count': Value('int64'), 'new_video_count': Value('int64')}
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
LabOS vortexing: 300 cases per category, three views
Target: 2,400 scenes and 7,200 videos, at 1920×1200 and 30 FPS. The categories are success, vortex_off, tube_empty, cap_open, tube_drop, wrong_orientation, wrong_rack, and rack_flipped.
Use progress.json and pipeline_status.json for the current generation status.
GENERATION_COMPLETE.json is created only after final extension validation.
Do not infer completeness from the folder name.
Each CATEGORY/scene_NNNNNN/ contains three synchronized videos (left.mp4,
front.mp4, right.mp4), matching per-video JSON metadata, metadata.json,
shared_state.npz, and three QA contact sheets. manifest.jsonl indexes the
currently accepted videos with relative paths. camera_rig.json freezes the
three camera poses used by the existing set.
IDs 000000–000099 are byte-verified independent copies of the original set. IDs 000100–000299 are newly sampled scenes with non-overlapping seed allocations. Each scene uses one physical simulation shared by its three camera streams. The existing rendering, collision, randomization, and metadata implementation is frozen; operational parallelism does not lower resolution or frame rate.
Known inherited exception: rack_flipped/scene_000070 has a final rack tilt
of 71.61°, below the final audit's ≥80° threshold. It remains unchanged and
flagged in inheritance.json. New rack-flip scenes are rejected below 80°.
The final full-dataset integrity audit retains this exception; the separate
extension audit checks that no new failures or inherited-file changes occurred.
Frustum coverage is audited, but that is not an exhaustive visual-occlusion
or artifact certification.
This generation is local only. It does not resume the paused Hugging Face upload.
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