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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- pt |
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tags: |
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- hatespeech |
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- explanability |
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- interpretability |
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- fairness |
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- portuguese |
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- evaluationbenchmark |
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- nlp |
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- ml |
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pretty_name: HateBRXplain |
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--- |
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# HateBRXplain: The Evaluation Benchmark for Explainable Hate Speech Detection in Brazilian Portuguese |
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HateBR is the first large-scale evaluation benchmark for explainable hate speech detection in Brazilian Portuguese. |
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It contains 7,000 documents annotated with a binary classification (offensive vs. non-offensive comments), |
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where the offensive comments (3,500) include human-annotated rationales. The rationales were annotated by two different annotators. |
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# Paper: |
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<b>HateBRXplain: A Benchmark Dataset with Human-Annotated Rationales for Explainable Hate Speech Detection in Brazilian Portuguese</b> <br> |
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Isadora Salles, Francielle Vargas, Fabrício Benevenuto<br> |
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<i>31st International Conference on Computational Linguistics (COLING 2025)</i> <br> |
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Abu Dhabi, UAE. pp. 6659-6669. 2025. https://aclanthology.org/2025.coling-main.446/ <br> |
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