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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
format: string
version: int64
fps: double
channels: list<item: struct<data_path: string, array_index: int64, keys: list<item: list<item: string>>>>
  child 0, item: struct<data_path: string, array_index: int64, keys: list<item: list<item: string>>>
      child 0, data_path: string
      child 1, array_index: int64
      child 2, keys: list<item: list<item: string>>
          child 0, item: list<item: string>
              child 0, item: string
time: list<item: double>
  child 0, item: double
set_target_data: list<item: struct<head: list<item: list<item: double>>, antennas: list<item: double>, body_yaw: doub (... 4 chars omitted)
  child 0, item: struct<head: list<item: list<item: double>>, antennas: list<item: double>, body_yaw: double>
      child 0, head: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 1, antennas: list<item: double>
          child 0, item: double
      child 2, body_yaw: double
description: string
to
{'description': Value('string'), 'time': List(Value('float64')), 'set_target_data': List({'head': List(List(Value('float64'))), 'antennas': List(Value('float64')), 'body_yaw': Value('float64')})}
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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              format: string
              version: int64
              fps: double
              channels: list<item: struct<data_path: string, array_index: int64, keys: list<item: list<item: string>>>>
                child 0, item: struct<data_path: string, array_index: int64, keys: list<item: list<item: string>>>
                    child 0, data_path: string
                    child 1, array_index: int64
                    child 2, keys: list<item: list<item: string>>
                        child 0, item: list<item: string>
                            child 0, item: string
              time: list<item: double>
                child 0, item: double
              set_target_data: list<item: struct<head: list<item: list<item: double>>, antennas: list<item: double>, body_yaw: doub (... 4 chars omitted)
                child 0, item: struct<head: list<item: list<item: double>>, antennas: list<item: double>, body_yaw: double>
                    child 0, head: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 1, antennas: list<item: double>
                        child 0, item: double
                    child 2, body_yaw: double
              description: string
              to
              {'description': Value('string'), 'time': List(Value('float64')), 'set_target_data': List({'head': List(List(Value('float64'))), 'antennas': List(Value('float64')), 'body_yaw': Value('float64')})}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Reachy Mini moves

Motion clips for Reachy Mini, baked from Blender timelines with the reachy_mini_link add-on. Marionette-compatible layout:

  • data/<move>.json - the motion (RecordedMove: description, time, set_target_data), canonicalized to <=50 Hz / 6 decimals.
  • data/<move>.ogg - optional audio sidecar, played by the daemon in lockstep with the motion.
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