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
description: string
time: double
set_target_data: struct<antennas: list<item: double>, body_yaw: double, check_collision: bool, head: list<item: list< (... 15 chars omitted)
child 0, antennas: list<item: double>
child 0, item: double
child 1, body_yaw: double
child 2, check_collision: bool
child 3, head: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
move_id: null
duration_seconds: null
has_audio: null
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 452
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 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
raise CastError(
datasets.table.CastError: Couldn't cast
description: string
time: double
set_target_data: struct<antennas: list<item: double>, body_yaw: double, check_collision: bool, head: list<item: list< (... 15 chars omitted)
child 0, antennas: list<item: double>
child 0, item: double
child 1, body_yaw: double
child 2, check_collision: bool
child 3, head: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
move_id: null
duration_seconds: null
has_audio: null
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 452
to
{'move_id': Value('string'), 'description': Value('string'), 'duration_seconds': Value('float64'), 'has_audio': Value('bool')}
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.
photobooth • Reachy Mini Moves
Community-contributed Marionette recordings captured on Reachy Mini.
- **Moves uploaded:** 4
- **Total motion time:** 48.0 seconds
- **Audio tracks:** 0
- **Last updated:** 2026-02-26T10:59:18Z
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 `Anne-Charlotte/photobooth`.
## Selected moves
| Move | Duration | Audio | Recorded at (UTC) |
| --- | --- | --- | --- |
| `wake-up` | 3.0s | No | 2026-02-26 10:59 |
| deep-sleep | 15.0s | No | 2026-02-26 10:57 |
| sleep-1 | 15.0s | No | 2026-02-26 10:56 |
| sleep | 15.0s | No | 2026-02-26 10:54 |
## Reuse
- Cite this dataset as `Anne-Charlotte/photobooth`.
- Keep the `reachy_mini_community_moves` tag when sharing derivatives so the community can discover related sets.
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