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Paul/hatecheck

1,179 downloads in 30 days13 likesLast modified 5 Jul 2022View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 9d2ac89
Licence files: No licence file at the top level of the repositoryEvidence: file list at 9d2ac89
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

text-classification

Citation text from the card

When using HateCheck, please cite our ACL paper:

@inproceedings{rottger-etal-2021-hatecheck,
    title = "{H}ate{C}heck: Functional Tests for Hate Speech Detection Models",
    author = {R{\"o}ttger, Paul  and
      Vidgen, Bertie  and
      Nguyen, Dong  and
      Waseem, Zeerak  and
      Margetts, Helen  and
      Pierrehumbert, Janet},
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-long.4",
    doi = "10.18653/v1/2021.acl-long.4",
    pages = "41--58",
    abstract = "Detecting online hate is a difficult task that even state-of-the-art models struggle with. Typically, hate speech detection models are evaluated by measuring their performance on held-out test data using metrics such as accuracy and F1 score. However, this approach makes it difficult to identify specific model weak points. It also risks overestimating generalisable model performance due to increasingly well-evidenced systematic gaps and biases in hate speech datasets. To enable more targeted diagnostic insights, we introduce HateCheck, a suite of functional tests for hate speech detection models. We specify 29 model functionalities motivated by a review of previous research and a series o

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dataset_licence({ "id": "Paul/hatecheck" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0