ruanchaves/hatebr
HateBR is the first large-scale expert annotated corpus of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media. The HateBR corpus was collected from Brazilian Instagram comments of politicians and manually annotated by specialists. It is composed of 7,000 documents annotated according to three different layers: a binary classification (offensive versus non-offensive comments), offensiveness-level (highly, moderately, and slightly offensive messages), and nine hate speech groups (xenophobia, racism, homophobia, sexism, religious intolerance,
| Author / organization | ruanchaves |
|---|---|
| Downloads | 606 (as reported by Hugging Face) |
| Likes | 20 |
| Created | 15 January 2023 |
| Last updated at source | 5 July 2025 |
Popularity, last 3 days
606 now (+21 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- ruanchaves/bert-base-portuguese-cased-hatebrModel · used to train
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