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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
description: 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 (... 27 chars omitted)
  child 0, item: struct<head: list<item: list<item: double>>, antennas: list<item: double>, body_yaw: double, check_c (... 15 chars omitted)
      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
      child 3, check_collision: bool
move_id: string
has_audio: bool
duration_seconds: double
to
{'move_id': Value('string'), 'description': Value('string'), 'duration_seconds': Value('float64'), 'has_audio': Value('bool')}
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 478, 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
              description: 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 (... 27 chars omitted)
                child 0, item: struct<head: list<item: list<item: double>>, antennas: list<item: double>, body_yaw: double, check_c (... 15 chars omitted)
                    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
                    child 3, check_collision: bool
              move_id: string
              has_audio: bool
              duration_seconds: double
              to
              {'move_id': Value('string'), 'description': Value('string'), 'duration_seconds': Value('float64'), 'has_audio': Value('bool')}
              because column names don't match

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famous_movie_quotes • Reachy Mini Moves

Community-contributed Marionette recordings captured on Reachy Mini.

  • Moves uploaded: 1
  • Total motion time: 2.6 seconds
  • Audio tracks: 1
  • Last updated: 2026-06-19T20:03:14Z

Files live under data/ — each move ships as a JSON trajectory (Reachy Mini emotions schema) plus an optional WAV recorded directly from the robot.

How this dataset was produced

These takes were recorded with the Marionette Reachy Mini app. Pick the moves to share, set your Hugging Face username, run huggingface-cli login once locally, then hit Synchronize to Hugging Face dataset inside Marionette. The app packages the selected files, generates this README, and uploads them to TSad33/famous-movie-quotes.

Selected moves

Move Duration Audio Recorded at (UTC)
wall-e 2.6s Yes 2026-06-19 20:03

Reuse

  • Cite this dataset as TSad33/famous-movie-quotes.
  • Keep the reachy_mini_community_moves tag when sharing derivatives so the community can discover related sets.
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