MexHat: A Dataset for Hate Speech Detection in Mexican Spanish Videos
MexHat is a roughly 1,000-clip Mexican Spanish video dataset for hate-speech and offensive-content detection.
MexHat is a video dataset of about 1,000 Mexican Spanish clips for multimodal hate-speech detection. Annotations support a three-way task covering no negative content, offensive content, and hate speech, plus a fine-grained task with three hate-speech subcategories. Statistics and baseline results emphasize difficulty from context, culture, and non-English multimodal cues. The paper notes that some examples are disturbing.
- About 1,000 annotated Mexican Spanish video clips.
- Three-way labels plus three hate-speech subcategories.
- Baselines show cultural and contextual cues remain difficult.
From the original article
1 min read at arxiv.orgEnsuring online safety through content monitoring had raised Hate Speech Detection as a crucial task to be addressed. By essence the task demands the capture of contextual cues, which are essential for a precise understanding of the content's intent.
By Itzel Tlelo-Coyotecatl · arxiv.org
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