---
language: 
  - en
thumbnail: "https://lh6.googleusercontent.com/n-PuRSZ0krLXsc1_tDfccTwNIXlIL6scqwsJyfipau31NoXHqKajrU8FvruLnVbJdeTL1TipltTI09atOrMYBISFtSigZAddagBcM1lWa85rIRybexAZOGGGhU5zgTKXqQ=w1280"
---

Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar.

This model comes from the paper [ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection](https://arxiv.org/abs/2203.09509) and can be used to detect implicit hate speech.

Please visit the [Github Repository](https://github.com/microsoft/TOXIGEN) for the training dataset and further details.

```bibtex
@inproceedings{hartvigsen2022toxigen,
    title = "{T}oxi{G}en: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection",
    author = "Hartvigsen, Thomas and Gabriel, Saadia and Palangi, Hamid and Sap, Maarten and Ray, Dipankar and Kamar, Ece",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics",
    year = "2022"
}
```