| | --- |
| | license: cc-by-nc-sa-4.0 |
| | task_categories: |
| | - text-classification |
| | - zero-shot-classification |
| | language: |
| | - en |
| | tags: |
| | - hate speech |
| | - abuse detection |
| | - toxicity |
| | - robustness |
| | - AAA |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # PLEAD-AAA |
| | This test set was generated applying the [AAA tool](https://github.com/Ago3/Adversifier) to the [PLEAD](https://huggingface.co/datasets/agostina3/PLEAD) dataset. |
| |
|
| | ## Reference |
| | If you use our dataset, please cite our papers: |
| | ``` |
| | @article{calabrese-etal-2022-plead, |
| | author = {Agostina Calabrese and |
| | Bj{\"{o}}rn Ross and |
| | Mirella Lapata}, |
| | title = {Explainable Abuse Detection as Intent Classification and Slot Filling}, |
| | journal = {Transactions of the Association for Computational Linguistics}, |
| | year = {2022} |
| | } |
| | |
| | @inproceedings{calabrese2021aaa, |
| | title={Aaa: Fair evaluation for abuse detection systems wanted}, |
| | author={Calabrese, Agostina and Bevilacqua, Michele and Ross, Bj{\"o}rn and Tripodi, Rocco and Navigli, Roberto}, |
| | booktitle={Proceedings of the 13th ACM Web Science Conference 2021}, |
| | pages={243--252}, |
| | year={2021} |
| | } |
| | ``` |
