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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:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              During handling of the above exception, another exception occurred:
              
              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 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value

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Booster K1 motion references

The current release is GMR smooth v2: 1799 admitted original recordings, 3183 ten-second windows, 8.841667 hours, and 379 independent take families. Exact BONES/LAFAN and other source distributions are in the included library/assembly.json.

All 1,824 original recordings are regenerated with the pinned BONES upstream GMR/K1 bridge. An independent source-aware full-recording audit finds zero moving-source whole-body or leg freezes; the entire release is held if any such stall remains. Contact/chord and joint-limit locks are repaired in generation. No freeze-based clip exclusion is introduced. Sampling gives equal probability to each eligible admitted ten-second window (uniform_reference_window_v1).

Admitted windows pass the original BONES geometry/joint/speed profile, including an independent check of the deployed float32 cache. Full-source provenance, human-clock identity, generator identity, physical-gate rejection reasons, source fidelity and command diagnostics are included. The stricter commissioning continuity budget still flags 2430/3183 windows. These are visible diagnostics; geometry admission and absence of freezes do not establish universal dynamic feasibility, learned tracking or hardware acceptance.

Native-reference reset geometry and world-velocity rotation are repaired in training source cd03a6a. All 1,594,683 actual reader reset states are finite; the accompanying static reset audit and 1024-world/100-control H100 extrema probe pass. Sustained learner stability remains separately monitored.

Download corrected-data.tar, dataset-manifest.json and prepare_ufo_library.py from the release folder. Extract and follow its README to verify and relocate the library.

Historical releases remain available for reproducibility. The 20261008-motion-diversity-v1 and 20261009-gmr-command-continuity-v1 releases contain known source-active holds; use GMR smooth v2 for new training.

Source licenses and restrictions remain applicable. The included BONES-SEED license and source-specific archive licenses govern their respective data; this repository grants no additional rights.

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