---
title: RWTamper
canonical_url: "https://www.modelscope.cn/datasets/x5scut/RWTamper"
md_url: "https://www.modelscope.cn/datasets/x5scut/RWTamper.md"
repository: x5scut/RWTamper
chinese_name: RWTamper
last_updated: 2026-08-02
license: CC-BY-NC-4.0
downloads: 20
stars: 0
---

# RWTamper

> RWTamper - x5scut 在 ModelScope 开源的数据集。[TIFS 2026]Bridging the Reality Gap in Tampered Text Detection: A Human-Crafted Real-World Dataset and a Text-Centric Approach

x5scut/RWTamper 是 ModelScope 魔搭社区上的数据集，采用 CC-BY-NC-4.0 许可。

- **Repository**: x5scut/RWTamper
- **License**: CC-BY-NC-4.0
- **Downloads**: 20
- **Stars**: 0
- **Last updated**: 2026-08-02

Source: https://www.modelscope.cn/datasets/x5scut/RWTamper

---

**Note:**
- The RWTamper dataset is available for non-commercial research purposes only. Scholars or organizations interested in using the dataset may submit an application through our online platform:

> 🔗 **[SCUT DLVC Lab Dataset Access Portal → Apply for RWTamper](http://121.41.49.212:9000/apply/rwtamper)**

- We will give you the decompression password after your application has been received and approved.
- The original data of the dataset is sourced from public channels such as the Internet, and its copyright shall remain with the original providers. The collated and annotated dataset presented in this case is for non-commercial use only and is currently licensed to universities and research institutions. To apply for the use of this dataset, please fill in the corresponding application form in accordance with the requirements specified on the dataset’s official website. The applicant must be a full-time employee of a university or research institute and is required to sign the application form. For the convenience of review, it is recommended to affix an official seal (a seal of a secondary-level department is acceptable).
- All users must follow all use conditions; otherwise, the authorization will be revoked.

## 📜 License
The code and dataset should be used and distributed under [ (CC BY-NC-ND 4.0)](https://creativecommons.org/licenses/by-nc-nd/4.0/) for non-commercial research purposes.

## ⛔️ Copyright
- This repository can only be used for non-commercial research purposes.
- For commercial use, please contact Prof. Lianwen Jin (eelwjin@scut.edu.cn).
- Copyright 2025, [Deep Learning and Vision Computing Lab (DLVC-Lab)](http://www.dlvc-lab.net), South China University of Technology. 

## ✒️ Citation

```latex
@ARTICLE{11570917,
  author={Xu, Guitao and Zhang, Peirong and Jin, Lianwen},
  journal={IEEE Transactions on Information Forensics and Security}, 
  title={Bridging the Reality Gap in Tampered Text Detection: A Human-Crafted Real-World Dataset and a Text-Centric Approach}, 
  year={2026},
  volume={21},
  number={},
  pages={6498-6513}}

```