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: string
audit_kind: string
counts: struct<scheduled: int64, valid: int64, passed: int64, normal_scheduled: int64, normal_passed: int64, (... 51 chars omitted)
child 0, scheduled: int64
child 1, valid: int64
child 2, passed: int64
child 3, normal_scheduled: int64
child 4, normal_passed: int64
child 5, negative_scheduled: int64
child 6, negative_passed: int64
protocol: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
study_files: int64
study_bytes: int64
recorded_frames: int64
frame_interval_s: double
pose_dtype: string
body_count: int64
max_object_xyz_error_m: double
max_quaternion_norm_error: double
mismatches: int64
cases: list<item: struct<case: string, valid: bool, trajectory_checks_match: bool, recorded_success: bool, (... 134 chars omitted)
child 0, item: struct<case: string, valid: bool, trajectory_checks_match: bool, recorded_success: bool, frames: int (... 122 chars omitted)
child 0, case: string
child 1, valid: bool
child 2, trajectory_checks_match: bool
child 3, recorded_success: bool
child 4, frames: int64
child 5, usd_properties_match: bool
child 6, compiled_checks_present: int64
child 7, object_xyz_error_m: double
child 8, quaternion_norm_error: double
limitations: list<item: string>
child 0, item: string
auditor: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
runtime_source: struct<usd_scene.py: struct<byte
...
int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 2, asset_library.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 3, asset_catalog.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 4, robot_profiles.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 5, robot_profiles.lock.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 6, reference_sim.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 7, reference_assets.lock.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 8, asset_preview.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 9, reference_replay.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
audit: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
manifest: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
archive: struct<name: string, files: int64, bytes: int64, sha256: string>
child 0, name: string
child 1, files: int64
child 2, bytes: int64
child 3, sha256: string
public_bytes: int64
public_files: int64
to
{'schema': Value('string'), 'public_files': Value('int64'), 'public_bytes': Value('int64'), 'manifest': {'bytes': Value('int64'), 'sha256': Value('string')}, 'archive': {'name': Value('string'), 'files': Value('int64'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'audit': {'bytes': Value('int64'), 'sha256': Value('string')}, 'counts': {'scheduled': Value('int64'), 'valid': Value('int64'), 'passed': Value('int64'), 'normal_scheduled': Value('int64'), 'normal_passed': Value('int64'), 'negative_scheduled': Value('int64'), 'negative_passed': Value('int64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema: string
audit_kind: string
counts: struct<scheduled: int64, valid: int64, passed: int64, normal_scheduled: int64, normal_passed: int64, (... 51 chars omitted)
child 0, scheduled: int64
child 1, valid: int64
child 2, passed: int64
child 3, normal_scheduled: int64
child 4, normal_passed: int64
child 5, negative_scheduled: int64
child 6, negative_passed: int64
protocol: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
study_files: int64
study_bytes: int64
recorded_frames: int64
frame_interval_s: double
pose_dtype: string
body_count: int64
max_object_xyz_error_m: double
max_quaternion_norm_error: double
mismatches: int64
cases: list<item: struct<case: string, valid: bool, trajectory_checks_match: bool, recorded_success: bool, (... 134 chars omitted)
child 0, item: struct<case: string, valid: bool, trajectory_checks_match: bool, recorded_success: bool, frames: int (... 122 chars omitted)
child 0, case: string
child 1, valid: bool
child 2, trajectory_checks_match: bool
child 3, recorded_success: bool
child 4, frames: int64
child 5, usd_properties_match: bool
child 6, compiled_checks_present: int64
child 7, object_xyz_error_m: double
child 8, quaternion_norm_error: double
limitations: list<item: string>
child 0, item: string
auditor: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
runtime_source: struct<usd_scene.py: struct<byte
...
int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 2, asset_library.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 3, asset_catalog.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 4, robot_profiles.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 5, robot_profiles.lock.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 6, reference_sim.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 7, reference_assets.lock.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 8, asset_preview.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 9, reference_replay.py: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
audit: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
manifest: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
archive: struct<name: string, files: int64, bytes: int64, sha256: string>
child 0, name: string
child 1, files: int64
child 2, bytes: int64
child 3, sha256: string
public_bytes: int64
public_files: int64
to
{'schema': Value('string'), 'public_files': Value('int64'), 'public_bytes': Value('int64'), 'manifest': {'bytes': Value('int64'), 'sha256': Value('string')}, 'archive': {'name': Value('string'), 'files': Value('int64'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'audit': {'bytes': Value('int64'), 'sha256': Value('string')}, 'counts': {'scheduled': Value('int64'), 'valid': Value('int64'), 'passed': Value('int64'), 'normal_scheduled': Value('int64'), 'normal_passed': Value('int64'), 'negative_scheduled': Value('int64'), 'negative_passed': 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.
DVIDIA USD workstation v0.1
A bounded OpenUSD-to-MuJoCo workstation with a pinned PiPER arm and original rigid test geometry. All 45 passive physics cases are retained: 36 normal drop/slide checks and 9 declared controls that remove gravity, support or friction. These are physics checks, not a learned manipulation success rate.
Open the recorded workstation · Source and Terminal tools
Download usd-workstation-v01.zip, extract it, and serve the directory with python -m http.server 8000. The browser replays saved native poses; the native Python CLI separately runs physics. See guide.md for installation and unsupported USD features.
The read-only audit reconstructs 10 ms traces and saved body poses. It does not authenticate physics, reconstruct unrecorded 1 ms goal-monitor intervals, or establish calibrated shoe properties, a learned skill or physical robot readiness.
Original DVIDIA code and scene: MIT; pinned PiPER assets: MIT with notices in the archive. Other dependencies retain their own licenses. DVIDIA research · @iammrriver · hello@dvidia.org.
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