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Datasets:
Paul
/
hatecheck

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
csv
Sub-tasks:
hate-speech-detection
Languages:
English
Size:
1K - 10K
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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  ## Dataset Description
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  HateCheck is a suite of functional test for hate speech detection models.
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- t contains ,728 test cases in 29 functional tests
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  - **Paper:** Röttger et al. (2021) - HateCheck: Functional Tests for Hate Speech Detection Model. https://aclanthology.org/2021.acl-long.4/
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  - **Repository:** https://github.com/paul-rottger/hatecheck-data
 
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  ## Dataset Description
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  HateCheck is a suite of functional test for hate speech detection models.
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+ The dataset contains 3,728 validated test cases in 29 functional tests.
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+ 19 functional tests correspond to distinct types of hate. The other 11 functional tests cover challenging types of non-hate.
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+ For more information on the dataset as well as a data statement, please refer to our ACL publication about HateCheck.
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  - **Paper:** Röttger et al. (2021) - HateCheck: Functional Tests for Hate Speech Detection Model. https://aclanthology.org/2021.acl-long.4/
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  - **Repository:** https://github.com/paul-rottger/hatecheck-data