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Add example dataset

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  1. .gitattributes +60 -0
  2. README.md +101 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.avro filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - robotics
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+ tags:
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+ - humanoid
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+ - vla
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+ - imitation-learning
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+ - unitree-g1
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+ - egocentric
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+ pretty_name: EgoHumanoid Sample Dataset (G1)
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # EgoHumanoid · Sample G1 Dataset
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+
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+ A small sample dataset collected on the **Unitree G1** humanoid platform, released alongside [**EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration**](https://arxiv.org/abs/2602.10106) for quick experimentation and fine-tuning.
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+
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+ <p align="center">
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+ <a href="https://opendrivelab.com/EgoHumanoid/"><img alt="Project Page" src="https://img.shields.io/badge/Project-EgoHumanoid-1f6feb?style=for-the-badge"></a>
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+ <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>
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+ <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>
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+ <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>
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+ </p>
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+
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+ ---
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+
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+ ## Overview
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+
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+ This repository hosts a **sample subset** intended for:
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+
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+ - Smoke-testing the EgoHumanoid training / inference pipeline
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+ - Fine-tuning a pretrained VLA policy on a small G1 task
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+ - Validating data loaders and the LeRobot-compatible storage format
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+
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+ For the **full release** and broader documentation, please visit the project page and GitHub repository linked below.
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+
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+ ## Links
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+
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+ | Resource | URL |
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+ | --- | --- |
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+ | Project Page | <https://opendrivelab.com/EgoHumanoid/> |
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+ | GitHub Repo | <https://github.com/OpenDriveLab/EgoHumanoid> |
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+ | Paper (arXiv)| <https://arxiv.org/abs/2602.10106> |
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+
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+ ## Dataset Structure
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+
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+ ```
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+ EgoHumanoid/
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+ └── example/
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+ ├── data/
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+ │ └── chunk-000/
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+ │ └── episode_*.parquet # per-episode state / action trajectories
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+ ├── meta/
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+ │ ├── info.json # schema & dataset metadata
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+ │ ├── modality.json # input / output modality definitions
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+ │ ├── episodes.jsonl # episode index
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+ │ ├── episodes_stats.jsonl # per-episode statistics
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+ │ └── tasks.jsonl # language task descriptions
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+ ├── videos/ # egocentric RGB recordings
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+ └── norm_stats.json # normalization statistics for VLA training
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+ ```
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+
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+ The layout follows the **LeRobot v2** convention, so any LeRobot-compatible loader can read it out of the box.
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+
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+ ## Quick Start
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+
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+ local_dir = snapshot_download(
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+ repo_id="OpenDriveLab/EgoHumanoid",
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+ repo_type="dataset",
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+ allow_patterns="example/*",
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+ )
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+ print(f"Downloaded to: {local_dir}/example")
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+ ```
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+
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+ Or with the CLI:
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+
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+ ```bash
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+ hf download OpenDriveLab/EgoHumanoid --repo-type=dataset --local-dir ./EgoHumanoid
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+ ```
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+
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+ ## Citation
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+
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+ If you find this dataset useful, please cite the EgoHumanoid paper:
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+
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+ ```bibtex
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+ @article{shi2026egohumanoid,
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+ title={EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration},
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+ 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},
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+ journal={arXiv preprint arXiv:2602.10106},
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+ year={2026}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Released under the **Apache 2.0** license.
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