HateXplain
홈페이지 · 논문 105편
Covers multiple aspects of the issue. Each post in the dataset is annotated from three different perspectives: the basic, commonly used 3-class classification (i.e., hate, offensive or normal), the target community (i.e., the community that has been the victim of hate speech/offensive speech in the post), and the rationales, i.e., the portions of the post on which their labelling decision (as hate, offensive or normal) is based. Source: [HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection](/paper/hatexplain-a-benchmark-dataset-for)