Humans with Collisions (HwC) Pose & Motion Dataset for PoseShield
Website: https://huggingface.co/datasets/ZYYY99/Humans_with_Collision

This repository contains the training, evaluation, and benchmark dataset for "PoseShield: Neural Collision Fields for Human Self-Collision Resolution (ECCV 2026)".

Dataset Structure:
- data/dataset/train_list.csv         - Train set list
- data/dataset/test_list.csv          - Test set list
- data/dataset/augmented_data/        - Self-colliding poses (.npz) used for training
- data/dataset/gt_data/               - Corresponding collision-free ground truth poses (.npz)
- data/dataset_test/                  - HwC 500-pose benchmark subset (.pkl, .obj, .png)
- data/motion_canonical/              - 100 canonical MotionFix motion sequences (.npy)

Usage Instructions:
To use this dataset in your PoseShield project, clone this Hugging Face repository directly or download the files and place them under your local `data/` directory:

    git lfs install
    git clone https://huggingface.co/datasets/ZYYY99/Humans_with_Collision

Alternatively, you can download the dataset programmatically using the huggingface_hub library:

    from huggingface_hub import snapshot_download
    snapshot_download(
        repo_id="ZYYY99/Humans_with_Collision", 
        repo_type="dataset", 
        local_dir="data"
    )