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Datasets:
myx160
/
retarget-da-dataset

Tags:
robotics
motion-retargeting
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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:    CastError
Message:      Couldn't cast
repo: string
repo_type: string
path: string
size: int64
sha256: string
commit: string
processed: int64
split: int64
kept: int64
next_index: int64
dropped: int64
to
{'next_index': Value('int64'), 'processed': Value('int64'), 'kept': Value('int64'), 'split': Value('int64'), 'dropped': 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
              repo: string
              repo_type: string
              path: string
              size: int64
              sha256: string
              commit: string
              processed: int64
              split: int64
              kept: int64
              next_index: int64
              dropped: int64
              to
              {'next_index': Value('int64'), 'processed': Value('int64'), 'kept': Value('int64'), 'split': Value('int64'), 'dropped': Value('int64')}
              because column names don't match

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DA motion retargeting data

Original files uploaded on 2026-09-16, without format conversion or repacking.

  • aim/: human-motion task targets.
  • joint/: initial robot joint optimization outputs.
  • joint_nocollision/: collision-cleaned outputs, including original progress metadata.
  • joint_reoptim/: reoptimized robot joint reference motions.

These stages originate from the project's AMASS/SMPL-to-DA pipeline. They are separate processing stages, not interchangeable training splits. Filenames and directory structure are preserved. Pickle files should only be loaded when their source is trusted.

The uploader has confirmed authorization for this public release. No additional blanket license over upstream or third-party material is asserted here; applicable upstream terms and third-party rights remain relevant. AMASS: https://amass.is.tue.mpg.de/license.html

Related legacy models: https://huggingface.co/myx160/retarget-legacy-checkpoints
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