jsl5710/BLUFF
BLUFF: Benchmark for Linguistic Understanding of Fake-news Forensics BLUFF is a comprehensive multilingual benchmark for fake news detection spanning 79 languages with over 202K samples. It uniquely covers both high-resource "big-head" (20) and low-resource "long-tail" (59) languages, addressing critical gaps in multilingual disinformation research. Paper: BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages Project Page:… See the full description on the dataset page: https://huggingface.co/datasets/jsl5710/BLUFF.
| Author / organization | jsl5710 |
|---|---|
| Downloads | 383 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 February 2026 |
| Last updated at source | 30 March 2026 |
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