ArabicRAGB is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on Arabic language tasks. Each record contains a query-passage pair where the query is grounded in the passage content.
Key Features
Passage-Grounded Queries: Each query is generated from and answerable by its paired passage
Multi-Dialect Coverage: MSA, Egyptian, Gulf… See the full description on the dataset page: https://huggingface.co/datasets/HeshamHaroon/ArabicRAGB.
