Datasets:

smilegeng
/

reachy_wave

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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_wave

This repository contains a TsFile conversion of the original Hugging Face

dataset aliberts/reachy_wave.

Source Dataset

The source repository is a LeRobot v2.0 dataset for a Reachy2 robot. The task is:

When you see someone, look at them and wave

Source structure:


data/chunk-000/episode_000000.parquet

data/chunk-000/episode_000001.parquet

data/chunk-000/episode_000002.parquet

data/chunk-000/episode_000003.parquet

data/chunk-000/episode_000004.parquet

meta/episodes.jsonl

meta/info.json

meta/stats.json

meta/tasks.jsonl

videos/chunk-000/observation.images.head_left/episode_000000.mp4

...

videos/chunk-000/observation.images.head_left/episode_000004.mp4

Source metadata:

Robot type: reachy2
Episodes: 5
Frames: 1,380
Tasks: 1
FPS: 15
Videos: 5
Video key: observation.images.head_left

Converted Structure

data/chunk-000/episode_000000.tsfile
data/chunk-000/episode_000001.tsfile
data/chunk-000/episode_000002.tsfile
data/chunk-000/episode_000003.tsfile
data/chunk-000/episode_000004.tsfile
meta/episodes.jsonl
meta/info.json
meta/stats.json
meta/tasks.jsonl
videos/chunk-000/observation.images.head_left/episode_000000.mp4

...

videos/chunk-000/observation.images.head_left/episode_000004.mp4

The meta/ and videos/ directories are mirrored unchanged from the source

repository for traceability. The TsFile conversion uses only the Parquet data.

Source Schema and Conversion

The source Parquet rows contain:

| Column | Source type | Conversion |

|---|---|---|

| action | float32[22] | flattened to action_0 ... action_21 |

| observation.state | float32[22] | flattened to state_0 ... state_21 |

| timestamp | float32 seconds | preserved as episode_timestamp_s; also used for TsFile Time |

| frame_index | int64 | FIELD |

| episode_index | int64 | FIELD and source for episode_id TAG |

| index | int64 | renamed to sample_index FIELD |

| task_index | int64 | FIELD and source for task_id TAG |

TsFile details:

Output files: data/chunk-000/episode_000000.tsfile through data/chunk-000/episode_000004.tsfile
Table name: reachy_wave
TAG columns: episode_id, task_id
Time precision: milliseconds
Time: round(timestamp * 1000)
Row count preserved: 1,380 source rows -> 1,380 TsFile rows across 5 per-episode files

Feature Names

Both action and observation.state use the same 22 dimensions from the source

metadata:


0  neck_yaw.pos

1  neck_pitch.pos

2  neck_roll.pos

3  r_shoulder_pitch.pos

4  r_shoulder_roll.pos

5  r_elbow_yaw.pos

6  r_elbow_pitch.pos

7  r_wrist_roll.pos

8  r_wrist_pitch.pos

9  r_wrist_yaw.pos

10 r_gripper.pos

11 l_shoulder_pitch.pos

12 l_shoulder_roll.pos

13 l_elbow_yaw.pos

14 l_elbow_pitch.pos

15 l_wrist_roll.pos

16 l_wrist_pitch.pos

17 l_wrist_yaw.pos

18 l_gripper.pos

19 mobile_base.vx

20 mobile_base.vy

21 mobile_base.vtheta

Viewer Note

Hugging Face Dataset Viewer may not preview .tsfile files because the hosted viewer environment must have TsFile support installed. Download the per-episode TsFile files under data/chunk-000/ and read them with a TsFile-compatible reader.

Citation

Please cite the original dataset:


@dataset{reachy_wave,

  author = {aliberts},

  title = {reachy_wave},

  publisher = {Hugging Face},

  url = {https://huggingface.co/datasets/aliberts/reachy_wave}

}

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