| --- |
| task_categories: |
| - text-classification |
| language: |
| - en |
| pretty_name: Dynamic-Escape |
| --- |
| perturbed toxic text dataset (from Jigsaw dataset), managed by the types of perturbations. |
| There are 9 types of perturbations: |
| 1. insert |
| 2. repeat |
| 3. maskword |
| 4. homoglyph |
| 5. swap |
| 6. remove |
| 7. abbrs./slangs |
| 8. distract words |
| 9. distract sentences |
|
|
|
|
| You also can access to Github: https://github.com/khk-abc/DynEscape---Dynamic-Escape |
|
|
| The paper has been published. Please cite the following paper if you would like to use this dataset. |
| ``` |
| @article{kang2026developing, |
| title={Developing continuous toxicity detection against increasing types of perturbed toxic text}, |
| author={Kang, Hankun and Chen, Jianhao and Li, Yongqi and Miao, Xin and Xu, Mayi and Zhou, Shen and Zhong, Ming and Zhu, Yuanyuan and Qian, Tieyun}, |
| journal={Information Processing \& Management}, |
| volume={63}, |
| number={2}, |
| pages={104470}, |
| year={2026}, |
| publisher={Elsevier} |
| } |
| ``` |
