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README.md
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The model is used for classifying a text as **Hatespeech**, **Offensive**, or **Normal**. The model is trained using data from Gab and Twitter and *Human Rationales* were included as part of the training data to boost the performance.
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The dataset and models are available here: https://github.com/punyajoy/HateXplain
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@inproceedings{mathew2020hatexplain,
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title={HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection},
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author={Mathew, Binny and Saha, Punyajoy and Yimam, Seid Muhie and Biemann, Chris and Goyal, Pawan and Mukherjee, Animesh},
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journal={arXiv preprint arXiv:2012.10289},
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year={2020}
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}
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