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# ToxiGen |
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### Paper |
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Title: `ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection` |
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Abstract: https://arxiv.org/abs/2203.09509 |
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Classify input text as either hateful or not hateful. |
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Homepage: https://github.com/microsoft/TOXIGEN |
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### Citation |
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``` |
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@inproceedings{hartvigsen2022toxigen, |
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title={ToxiGen: A Large-Scale Machine-Generated Dataset for Implicit and Adversarial Hate Speech Detection}, |
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author={Hartvigsen, Thomas and Gabriel, Saadia and Palangi, Hamid and Sap, Maarten and Ray, Dipankar and Kamar, Ece}, |
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booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics}, |
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year={2022} |
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} |
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``` |
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### Groups and Tasks |
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#### Groups |
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* Not part of a group yet. |
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#### Tasks |
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* `toxigen` |
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### Checklist |
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For adding novel benchmarks/datasets to the library: |
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* [ ] Is the task an existing benchmark in the literature? |
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* [ ] Have you referenced the original paper that introduced the task? |
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* [ ] 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? |
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If other tasks on this dataset are already supported: |
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* [ ] Is the "Main" variant of this task clearly denoted? |
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* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates? |
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* [ ] Have you noted which, if any, published evaluation setups are matched by this variant? |
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