HeshamHaroon/ArabicRAGB
ArabicRAGB: Arabic Retrieval-Augmented Generation Benchmark Dataset Description 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… See the full description on the dataset page: https://huggingface.co/datasets/HeshamHaroon/ArabicRAGB.
| Author / organization | HeshamHaroon |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 154 (as reported by Hugging Face) |
| Likes | 13 |
| Created | 15 December 2025 |
| Last updated at source | 15 December 2025 |
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154 now (+7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: ArabicRAGB: Arabic Retrieval-Augmented Generation Benchmark Dataset Description ArabicRAGB is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on Arabic language tasks. Each record contains a query-passage pai → ArabicRAGB: Arabic Retrieval-Augmented Generation Benchmark Dataset Description ArabicRAGB is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on Arabic language tasks. Each record contains a query-passage pai
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