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--- |
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license: apache-2.0 |
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size_categories: |
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- 10G<n<100G |
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task_categories: |
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- robotics |
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tags: |
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- motion-retargeting |
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- humanoid-robot |
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- agibot |
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- unitree-g1 |
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--- |
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# Agibot2UnitreeG1Retarget Dataset |
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[Paper](https://huggingface.co/papers/2509.11839) | [Project Page](https://jiachengliu3.github.io/TrajBooster/) | [Code](https://github.com/jiachengliu3/OpenTrajBooster) |
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## Description |
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This dataset contains action retargeting data from Agibot to UnitreeG1 humanoid robot. |
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## Dataset Size |
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- Total size: ~30GB |
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- Split into 7 parts (A2UG1_dataset.tar.gz.aa to A2UG1_dataset.tar.gz.ag) |
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- Each part is approximately 4GB |
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## Usage |
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### Method 1: Using Hugging Face Hub (Recommended) |
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```bash |
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pip install huggingface-hub |
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``` |
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```python |
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from huggingface_hub import snapshot_download |
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# Download the entire dataset |
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snapshot_download( |
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repo_id="l2aggle/Agibot2UnitreeG1Retarget", |
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repo_type="dataset", |
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local_dir="./Agibot2UnitreeG1Retarget" |
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) |
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``` |
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### Method 2: Using Git with LFS |
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```bash |
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# Make sure git-lfs is installed |
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git lfs install |
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# Clone the repository (this will download LFS pointer files) |
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git clone https://huggingface.co/datasets/l2aggle/Agibot2UnitreeG1Retarget |
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cd Agibot2UnitreeG1Retarget |
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# Download the actual large files |
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git lfs pull |
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``` |
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### Method 3: Manual Download |
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Download individual parts through the Hugging Face web interface: |
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https://huggingface.co/datasets/l2aggle/Agibot2UnitreeG1Retarget/tree/main |
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## Extract Dataset |
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After downloading, extract the complete dataset: |
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```bash |
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# Combine and extract all parts |
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cat A2UG1_dataset.tar.gz.* | tar -xzf - |
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``` |
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This will create the complete `A2UG1_dataset` folder with all original files. |
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## File Structure |
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``` |
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A2UG1_dataset/ |
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├── [your dataset structure will be shown here after extraction] |
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``` |
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## Requirements |
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- At least 60GB free disk space (30GB for download + 30GB for extraction) |
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- For Method 1: Python 3.6+ with `huggingface-hub` package |
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- For Method 2: Git with Git LFS support |
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- tar utility (standard on Linux/Mac, available on Windows via WSL or Git Bash) |
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## Installation Requirements |
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```bash |
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# For Method 1 |
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pip install huggingface-hub |
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# For Method 2 (if git-lfs not installed) |
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# Ubuntu/Debian: |
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sudo apt install git-lfs |
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# macOS: |
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brew install git-lfs |
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# Windows: download from https://git-lfs.github.io/ |
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``` |
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## License |
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Apache 2.0 |
