CoRoleHOI / README.md
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---
pretty_name: CoRoleHOI
license: cc-by-4.0
task_categories:
- other
task_ids:
- text-to-motion
- human-object-interaction
language:
- en
tags:
- human-object-interaction
- multi-person
- role-asymmetry
- smpl-x
- 3d
- embodied-ai
- motion-generation
annotations_creators:
- expert-generated
source_datasets:
- original
size_categories:
- 10K<n<100K
---
# 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 interaction
- prompt_dict.json
Prompt ID to canonical text mapping
- split_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