license: apache-2.0
task_categories:
- robotics
- time-series-forecasting
language:
- en
tags:
- lerobot
- robotics
- reachy2
- imitation-learning
- action-state
- video
- tsfile
pretty_name: reachy_wave TsFile
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.tsfilethroughdata/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}
}