Datasets:
metadata
license: apache-2.0
task_categories:
- robotics
tags:
- humanoid
- vla
- imitation-learning
- unitree-g1
- egocentric
pretty_name: EgoHumanoid Sample Dataset (G1)
size_categories:
- n<1K
EgoHumanoid · Sample G1 Dataset
A sample dataset released alongside EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration, containing both robot teleoperation (Unitree G1) and robot-free egocentric human demonstration (PICO VR + ZED) data for quick experimentation and fine-tuning.
Overview
This repository hosts a sample subset with two data sources:
| Subset | Description | Episodes |
|---|---|---|
example/robot/ |
Robot teleoperation demonstrations (Unitree G1) | 50 |
example/human/ |
Egocentric human demonstrations (PICO VR + ZED) | 1 |
Intended for:
- Smoke-testing the EgoHumanoid co-training pipeline (robot + human data)
- Fine-tuning a pretrained VLA policy on a small G1 task
- Validating data loaders and the LeRobot-compatible storage format
For the full release and broader documentation, please visit the project page and GitHub repository linked below.
Links
| Resource | URL |
|---|---|
| Project Page | https://opendrivelab.com/EgoHumanoid/ |
| GitHub Repo | https://github.com/OpenDriveLab/EgoHumanoid |
| Paper (arXiv) | https://arxiv.org/abs/2602.10106 |
Dataset Structure
EgoHumanoid/
└── example/
├── robot/ # robot teleoperation demonstrations
│ ├── data/chunk-000/
│ │ └── episode_*.parquet # per-episode state / action trajectories
│ ├── meta/
│ │ ├── info.json # schema & dataset metadata
│ │ ├── modality.json # input / output modality definitions
│ │ ├── episodes.jsonl # episode index
│ │ ├── episodes_stats.jsonl # per-episode statistics
│ │ └── tasks.jsonl # language task descriptions
│ ├── videos/ # egocentric RGB recordings
│ └── norm_stats.json # normalization statistics
└── human/ # egocentric human demonstrations
├── data/chunk-000/
│ └── episode_*.parquet
├── meta/
│ ├── info.json
│ ├── episodes.jsonl
│ ├── episodes_stats.jsonl
│ └── tasks.jsonl
└── videos/ # egocentric RGB recordings
Both subsets follow the LeRobot v2 convention, so any LeRobot-compatible loader can read them out of the box.
Quick Start
from huggingface_hub import snapshot_download
local_dir = snapshot_download(
repo_id="OpenDriveLab/EgoHumanoid",
repo_type="dataset",
allow_patterns="example/*",
)
print(f"Downloaded to: {local_dir}/example")
Or with the CLI:
hf download OpenDriveLab/EgoHumanoid --repo-type=dataset --local-dir ./EgoHumanoid
Citation
If you find this dataset useful, please cite the EgoHumanoid paper:
@article{shi2026egohumanoid,
title={EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration},
author={Shi, Modi and Peng, Shijia and Chen, Jin and Jiang, Haoran and Li, Yinghui and Huang, Di and Luo, Ping and Li, Hongyang and Chen, Li},
journal={arXiv preprint arXiv:2602.10106},
year={2026}
}
License
Released under the Apache 2.0 license.