fgaim/tigrinya-abusive-language-detection
Tigrinya Abusive Language Detection (TiALD) Dataset TiALD is a large-scale, multi-task benchmark dataset for abusive language detection in the Tigrinya language. It consists of 13,717 YouTube comments annotated for abusiveness, sentiment, and topic tasks. The dataset includes comments written in both the Ge’ez script and prevalent non-standard Latin transliterations to mirror real-world usage. The dataset also includes contextual metadata such as video titles and VLM-generated… See the full description on the dataset page: https://huggingface.co/datasets/fgaim/tigrinya-abusive-language-detecti
| Author / organization | fgaim |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 362 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 3 May 2025 |
| Last updated at source | 25 October 2025 |
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- 16 Oct 2026 Description: Tigrinya Abusive Language Detection (TiALD) Dataset TiALD is a large-scale, multi-task benchmark dataset for abusive language detection in the Tigrinya language. It consists of 13,717 YouTube comments annotated for abusiveness, sentiment, a → Tigrinya Abusive Language Detection (TiALD) Dataset TiALD is a large-scale, multi-task benchmark dataset for abusive language detection in the Tigrinya language. It consists of 13,717 YouTube comments annotated for abusiveness, sentiment, a
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