HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Benchmark Model Rank Results
hate-speech-detection-on-hatexplainBERT-HateXplain [Attn]#3AUROC: 0.851Macro F1: 0.687Accuracy: 0.698
hate-speech-detection-on-hatexplainBERT-HateXplain [LIME]#4AUROC: 0.851Macro F1: 0.687
hate-speech-detection-on-hatexplainBERT [Attn]#5AUROC: 0.843Macro F1: 0.674Accuracy: 0.69
hate-speech-detection-on-hatexplainBiRNN-HateXplain [Attn]#6AUROC: 0.805Macro F1: 0.629
hate-speech-detection-on-hatexplainBiRNN-Attn [Attn]#7AUROC: 0.795Accuracy: 0.621
hate-speech-detection-on-hatexplainCNN-GRU [LIME]#8AUROC: 0.793Macro F1: 0.614Accuracy: 0.629
hate-speech-detection-on-hatexplainBiRNN [LIME]#9AUROC: 0.767Macro F1: 0.575Accuracy: 0.595