HateXplain
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Hate speech detection | HateXplain (test) | Macro F1 Score85.13 | 36 | |
| Feature Attribution | HateXplain | Comprehensiveness85 | 33 | |
| Hate Speech Detection | HateXplain | F1-macro57 | 27 | |
| Hate speech classification and explainability | HateXplain (test) | IOU F10.3176 | 22 | |
| Classification Probing | HateXplain (test) | Probe Accuracy (Best Layer)79.1 | 21 | |
| Hate Speech Classification | HateXplain | Accuracy0.763 | 21 | |
| Toxicity Detection | HateXplain | AUC90.44 | 21 | |
| Hate Speech Detection | HateXplain (held-out) | F1 Score47.3 | 14 | |
| Hate speech classification | HateXplain (test) | Macro-F172 | 13 | |
| Rationalization | HateXplain Synthetic Skew (test) | HI-F10.4281 | 7 | |
| Classification | HateXplain Synthetic Skew (test) | Clf-F173.15 | 7 | |
| Hate Speech Detection | HateXplain Muslim-focused (test) | Accuracy75.1 | 7 | |
| Text Classification | HateXplain (val) | Accuracy35.2 | 6 | |
| Rationalization | HateXplain (test) | HI-F142.62 | 5 | |
| Hate Speech Classification | HateXplain standard (test) | Accuracy68.6 | 5 | |
| Multi-label classification | HateXplain (test) | Hamming Loss5.89 | 3 | |
| Multi-label classification | HateXplain | Precision (macro)0.7519 | 3 | |
| multi target-group identification | HateXplain (test) | African Group BA76.83 | 3 | |
| Concept vector stability | HateXplain | Mean Abs-Cosine Similarity0.98 | 3 | |
| Text Classification | HateXplain (test) | Accuracy34.3 | 3 |
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