SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models
SalamahBench is introduced, a unified benchmark of 8{,}270 human-verified harmful prompts across ML Commons hazard categories, each rendered in Modern Standard Arabic (MSA) and five regional Arabic varieties and five regional Arabic varieties, for a total of 49{,}620 paired instances.
Omar Abdelnasser, Fatemah Alharbi, Khaled N. Khasawneh et al.
· 0 citations