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---
tags:
- 3D
viewer: false
---

# TongSIM

<div align="center">
  <img src="Docs/logo.png" width="60%" alt="Pleias" />
</div>

<div align="center">

[![Home](https://img.shields.io/badge/Home-TongSIM-green)](https://tongsim-platform.github.io/tongsim)
[![GitHub](https://img.shields.io/badge/GitHub-TongSIM-blue)](https://github.com/bigai-ai/tongsim)
[![Paper](https://img.shields.io/badge/Paper-arXiv-red)](https://arxiv.org/abs/2512.20206)

</div>

# GitHub

Visit [Github](https://github.com/bigai-ai/tongsim) : https://github.com/bigai-ai/tongsim


# What is TongSIM-Asset?

As artificial intelligence (AI) rapidly advances, especially in multimodal large language models, research focus is shifting from single-modality text processing to the more complex domains of multimodal and embodied AI. Embodied intelligence focuses on training agents within realistic simulated environments, leveraging physical interaction and action feedback rather than conventionally labeled datasets. To foster embodied AI research, we introduce [`TongSIM`](https://github.com/bigai-ai/tongsim), a high-fidelity, general-purpose platform for training and evaluating embodied agents.

TongSIM-Asset is the digital asset package of the TongSIM platform. The TongSIM-Asset package currently contains over 100 varied, multi-room indoor scenarios, and thousands of 3D interactive objects spanning more than 500 categories. By offering this open-source asset, TongSIM-Asset provides a unified and powerful tool for the development and testing of general embodied agents, enabling researchers from diverse AI fields to advance embodied intelligence research.

This dataset is intended for use in the TongSIM simulator for embodied in-home interaction tasks, such as object rearrangement, visual navigation, multi-agent embodied simulation, and various customized tasks.

Please note that the dataset is strictly for non-commercial academic research only. All materials are licensed under the [License](https://huggingface.co/datasets/bigai/TongSIM-Asset/blob/main/Docs/LICENSE).

### Dataset Contents (this repository): 

TongSIM-Asset provides a project built on Unreal Engine version 5.6. The dataset contains 100 scenes are used as a test set for challenge assessment. All scenes can run above 60FPS.

- 3000+ objects covering 500+ categories.
- 100 scenes.
- 10+ agents, including adults and children.
- 100+ agent animations

<table align="center">
  <tr>
    <td align="center">
      <img src="Docs/scenes.png" width="100%"/>
      <br/><font color="#888">Scenes</font>
    </td>
    <td align="center">
      <img src="Docs/object.jpg" width="100%"/>
      <br/><font color="#888">Objects</font>
    </td>
  </tr>
  <tr>
    <td align="center">
      <img src="Docs/human.png" width="100%"/>
      <br/><font color="#888">Agents</font>
    </td>
    <td align="center">
      <img src="Docs/animation.png" width="100%"/>
      <br/><font color="#888">Animations</font>
    </td>
  </tr>
</table>


## Dataset Structure

```
├── Config
│   ├── */*.ini
├── Content
│   ├── Animations
|      ├── *.uasset
│   ├── Characters
|      ├── *.uasset
│   ├── Maps
|      ├── *.uasset
│   ├── Objects
|      ├── *.uasset
├── Docs
│   ├── *.md
│   ├── *.png
└── TongSimLite.uproject
```

### Install Unreal Engine 5.6:

TongSIM-Asset project built on Unreal Engine version 5.6 and requires to be installed first.

[**Vist the Unreal Engine Homepage**](https://www.unrealengine.com/en-US/download)

[**Vist the Unreal Engine Documentation**](https://dev.epicgames.com/documentation/en-us/unreal-engine/unreal-engine-5-6-documentation?application_version=5.6)

---

Citing TongSIM-Asset
---

Using TongSIM-Asset in your research? Please cite the following paper: [arxiv](https://arxiv.org/abs/2512.20206)

```
@article{sun2025tongsim,
  title={TongSIM: A General Platform for Simulating Intelligent Machines},
  author={Sun, Zhe and Wu, Kunlun and Fu, Chuanjian and Song, Zeming and Shi, Langyong and Xue, Zihe and Jing, Bohan and Yang, Ying and Gao, Xiaomeng and Li, Aijia and others},
  journal={arXiv preprint arXiv:2512.20206},
  year={2025}
}
```