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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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 207, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, 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
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number 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 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 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 479, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 221, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 91, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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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music • Reachy Mini Moves

        Community-contributed Marionette recordings captured on Reachy Mini.

        - **Moves uploaded:** 8
        - **Total motion time:** 188.8 seconds
        - **Audio tracks:** 8
        - **Last updated:** 2026-03-11T14:01:22Z

        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/music`.

        ## Selected moves

        | Move | Duration | Audio | Recorded at (UTC) |
        | --- | --- | --- | --- |
        | `spice-girls` | 9.3s | Yes | 2026-03-11 14:01 |

| paint-it-black | 20.0s | Yes | 2026-03-11 14:00 | | las-ketchup | 15.0s | Yes | 2026-03-11 13:59 | | katy-perry-fireworks | 46.0s | Yes | 2026-03-11 13:56 | | eagles-hotel-california | 26.0s | Yes | 2026-03-11 13:54 | | beyonce-single-ladies | 19.7s | Yes | 2026-03-11 13:49 | | feel-the-magic-in-the-air | 22.0s | Yes | 2026-03-02 16:04 | | demon-hunters-1 | 30.8s | Yes | 2026-02-26 08:01 |

        ## Reuse

        - Cite this dataset as `Anne-Charlotte/music`.
        - Keep the `reachy_mini_community_moves` tag when sharing derivatives so the community can discover related sets.
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