CoRoleHOI / README.md
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metadata
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