HateXplain
Introduced by Mathew et al. in HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
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 DetectionBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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HateXplain
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BERT-MRP
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HateXplain
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Space-XLNet
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HateXplain
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Space-DistilBERT
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Papers
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