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# ToxiGen
### Paper
Title: `ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection`
Abstract: https://arxiv.org/abs/2203.09509
Classify input text as either hateful or not hateful.
Homepage: https://github.com/microsoft/TOXIGEN
### Citation
```
@inproceedings{hartvigsen2022toxigen,
title={ToxiGen: A Large-Scale Machine-Generated Dataset for Implicit and Adversarial 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 for Computational Linguistics},
year={2022}
}
```
### Groups and Tasks
#### Groups
* Not part of a group yet.
#### Tasks
* `toxigen`
### Checklist
For adding novel benchmarks/datasets to the library:
* [ ] Is the task an existing benchmark in the literature?
* [ ] Have you referenced the original paper that introduced the task?
* [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
If other tasks on this dataset are already supported:
* [ ] Is the "Main" variant of this task clearly denoted?
* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
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