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CoRoleHOI Dataset
Overview
CoRoleHOI is a dataset for role-asymmetric multi-person multi-object Human–Object Interaction (HOI).
It is designed to support research in:
- Text-driven motion generation
- Multi-person interaction modeling
- Human-object interaction understanding
- Embodied AI and robotics
The dataset integrates multi-modal signals:
- SMPL-X human motion sequences
- Object trajectories (4×4 transformation matrices)
- Fine-grained contact annotations
- Structured textual prompts
- Object meshes and SDF representations
Key Contributions
- Role-asymmetric interaction modeling (e.g., giver → receiver)
- Multi-person coordination scenarios
- Multi-object interaction support
- Fine-grained contact supervision
- Aligned text–motion–object representation
Dataset Structure
The dataset is distributed primarily as a compressed archive:
CoRoleHOI/ ├── data.zip ├── README.md ├── croissant.json
Contents of data.zip:
data/ ├── smplx_npz/ ├── obj_transmat_npy/ ├── contact_labels_w_semantics_npy_files/ ├── text_anno_json_data/ ├── human_metadata/ ├── obj_metadata/ ├── captured_objects/ ├── rest_object_sdf_256_npy_files/ ├── augmented_prompts.json ├── prompt_dict.json ├── split_prompts.json
Data Modalities
Each interaction sequence includes:
| Modality | Description |
|---|---|
| Human Motion | SMPL-X parameters |
| Object Motion | 4×4 transformation matrices |
| Contact Labels | Binary / semantic contact |
| Text | Natural language interaction description |
| Metadata | Human & object attributes |
Text Annotations
The dataset provides structured language supervision:
augmented_prompts.json
Multiple paraphrases per interactionprompt_dict.json
Prompt ID to canonical text mappingsplit_prompts.json
Train / validation / test splits
Example Interaction
Person A passes the printer to Person B.
Download
Dataset page:
https://huggingface.co/datasets/RayZuo/CoRoleHOI
Direct download:
https://huggingface.co/datasets/RayZuo/CoRoleHOI/resolve/main/CoRoleHOI.zip
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