PCR-ToxiCN

PCR-ToxiCN is a 500-example Chinese dataset for testing how well models spot offensive language hidden by phonetic cloaking (homophones and near-homophones).

Quick use

from datasets import load_dataset
ds = load_dataset("UTSNLPGroup/PCR-ToxiCN", split="full")

Code

Code on GitHub: HTG13503/PCR-ToxiCN

Contributors

Haotan Guo, Jianfei He, Jiayuan Ma, Hongbin Na, Zimu Wang, Haiyang Zhang, Qi Chen, Wei Wang, Zijing Shi, Tao Shen, Ling Chen

Citation

@article{guo2025lost,
  title={Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement},
  author={Guo, Haotan and He, Jianfei and Ma, Jiayuan and Na, Hongbin and Wang, Zimu and Zhang, Haiyang and Chen, Qi and Wang, Wei and Shi, Zijing and Shen, Tao and Chen, Ling},
  journal={arXiv preprint arXiv:2507.07640},
  year={2025},
  url={https://arxiv.org/abs/2507.07640}
}