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
sample_count: int64
passed: int64
results: list<item: struct<sample_id: string, status: string, actions: list<item: int64>, latent: list<item: (... 49 chars omitted)
child 0, item: struct<sample_id: string, status: string, actions: list<item: int64>, latent: list<item: int64>, sta (... 37 chars omitted)
child 0, sample_id: string
child 1, status: string
child 2, actions: list<item: int64>
child 0, item: int64
child 3, latent: list<item: int64>
child 0, item: int64
child 4, states: int64
child 5, checksums_recorded: bool
samples: list<item: struct<sample_id: string, input_fps: int64, input_frames: int64, reference_duration_s: do (... 294 chars omitted)
child 0, item: struct<sample_id: string, input_fps: int64, input_frames: int64, reference_duration_s: double, actio (... 282 chars omitted)
child 0, sample_id: string
child 1, input_fps: int64
child 2, input_frames: int64
child 3, reference_duration_s: double
child 4, action_steps: int64
child 5, state_frames: int64
child 6, control_hz: int64
child 7, rollout_duration_s: double
child 8, root_translation_max_conversion_error_m: double
child 9, joint_angle_max_conversion_error_rad: double
child 10, input_root_quaternion_norm_max_error: double
child 11, file_count: int64
child 12, terminated_or_truncated_events: int64
to
{'samples': List({'sample_id': Value('string'), 'input_fps': Value('int64'), 'input_frames': Value('int64'), 'reference_duration_s': Value('float64'), 'action_steps': Value('int64'), 'state_frames': Value('int64'), 'control_hz': Value('int64'), 'rollout_duration_s': Value('float64'), 'root_translation_max_conversion_error_m': Value('float64'), 'joint_angle_max_conversion_error_rad': Value('float64'), 'input_root_quaternion_norm_max_error': Value('float64'), 'file_count': Value('int64'), 'terminated_or_truncated_events': Value('int64')}), 'sample_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 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
sample_count: int64
passed: int64
results: list<item: struct<sample_id: string, status: string, actions: list<item: int64>, latent: list<item: (... 49 chars omitted)
child 0, item: struct<sample_id: string, status: string, actions: list<item: int64>, latent: list<item: int64>, sta (... 37 chars omitted)
child 0, sample_id: string
child 1, status: string
child 2, actions: list<item: int64>
child 0, item: int64
child 3, latent: list<item: int64>
child 0, item: int64
child 4, states: int64
child 5, checksums_recorded: bool
samples: list<item: struct<sample_id: string, input_fps: int64, input_frames: int64, reference_duration_s: do (... 294 chars omitted)
child 0, item: struct<sample_id: string, input_fps: int64, input_frames: int64, reference_duration_s: double, actio (... 282 chars omitted)
child 0, sample_id: string
child 1, input_fps: int64
child 2, input_frames: int64
child 3, reference_duration_s: double
child 4, action_steps: int64
child 5, state_frames: int64
child 6, control_hz: int64
child 7, rollout_duration_s: double
child 8, root_translation_max_conversion_error_m: double
child 9, joint_angle_max_conversion_error_rad: double
child 10, input_root_quaternion_norm_max_error: double
child 11, file_count: int64
child 12, terminated_or_truncated_events: int64
to
{'samples': List({'sample_id': Value('string'), 'input_fps': Value('int64'), 'input_frames': Value('int64'), 'reference_duration_s': Value('float64'), 'action_steps': Value('int64'), 'state_frames': Value('int64'), 'control_hz': Value('int64'), 'rollout_duration_s': Value('float64'), 'root_translation_max_conversion_error_m': Value('float64'), 'joint_angle_max_conversion_error_rad': Value('float64'), 'input_root_quaternion_norm_max_error': Value('float64'), 'file_count': Value('int64'), 'terminated_or_truncated_events': Value('int64')}), 'sample_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.
RoboSteer Model Resources — public reference edition
中文说明 · Release scope · MIT scope · Model index
This repository publishes project-authored guides and reference scripts for nine motion and robot pipelines. All nine model entries are reference material. None is a self-contained, publicly reproducible model release: upstream project source, checkpoints, body models, and robot assets must be obtained separately under their own terms. Historical validation records describe runs in the original environments; they do not establish a fresh installation from these files.
| Model | Current public material | Main missing dependency |
|---|---|---|
| MotionCraft | Reference pipeline scripts and guides | Upstream MotionCraft, GMR and SONIC source and resources |
| GEM | Five-task scripts, constructed examples and SMPL-X/G1/SONIC reference results | Upstream GEM, GMR and SONIC source and resources |
| Language of Motion | Reference tools and guides | Upstream LoM, GMR and SONIC source and resources |
| ListenDenoiseAction | Original adapters and orchestration | Upstream LDA and GMR source and resources |
| TextOp | Reference guide, original checker and text examples | Upstream TextOp source and resources |
| UH-1 | Guides and text examples | Upstream UH-1 source and resources |
| UniAct | Reference tools and guides | Upstream UniAct, GMR and SONIC source and resources |
| video2robot | Reference scripts and guides | Upstream video2robot, PromptHMR, GMR and resources |
| BFM-Zero | Reference guide and provenance | Unpublished project adapter and upstream resources |
The files are for inspecting workflows and adapting them with independently obtained dependencies. Commands in older detailed guides record historical runs; some refer to files deliberately excluded from this public edition. Start with each model's PUBLIC_SCOPE.md before using them.
This is a file collection, not a load_dataset() table. Project-authored scripts and original documentation are available under the MIT License within the stated scope. The MIT grant does not extend to upstream projects, weights, inputs, or generated results. Consult third-party notices and each model's source links. Installation conventions explain the reference-only status. Verify an archive with its adjacent .sha256; a directory SHA256SUMS covers only the listed unpacked files.
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