Add example dataset (robot + human)

.gitattributes

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README.md

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+---
+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**](https://arxiv.org/abs/2602.10106), containing both **robot teleoperation** (Unitree G1) and **robot-free egocentric human demonstration** (PICO VR + ZED) data for quick experimentation and fine-tuning.
+
+<p align="center">
+  <a href="https://opendrivelab.com/EgoHumanoid/"><img alt="Project Page" src="https://img.shields.io/badge/Project-EgoHumanoid-1f6feb?style=for-the-badge"></a>
+  <a href="https://github.com/OpenDriveLab/EgoHumanoid"><img alt="GitHub" src="https://img.shields.io/badge/Code-GitHub-181717?style=for-the-badge&logo=github"></a>
+  <a href="https://arxiv.org/abs/2602.10106"><img alt="arXiv" src="https://img.shields.io/badge/Paper-arXiv-b31b1b?style=for-the-badge&logo=arxiv"></a>
+  <a href="https://huggingface.co/datasets/OpenDriveLab/EgoHumanoid"><img alt="HF Dataset" src="https://img.shields.io/badge/Dataset-HuggingFace-ffd21e?style=for-the-badge&logo=huggingface"></a>
+</p>
+
+---
+
+## 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
+
+```python
+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:
+
+```bash
+hf download OpenDriveLab/EgoHumanoid --repo-type=dataset --local-dir ./EgoHumanoid
+```
+
+## Citation
+
+If you find this dataset useful, please cite the EgoHumanoid paper:
+
+```bibtex
+@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.

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example/human/meta/episodes.jsonl

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example/human/meta/episodes_stats.jsonl

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example/human/meta/info.json

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+    "robot_type": "g1",
+    "total_episodes": 1,
+    "total_frames": 3101,
+    "total_tasks": 1,
+    "total_videos": 1,
+    "total_chunks": 1,
+    "chunks_size": 1000,
+    "fps": 12,
+    "splits": {
+        "train": "0:1"
+    },
+    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
+    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
+    "features": {
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