silma-ai/silma-rag-qa-benchmark-v1.0

SILMA RAGQA Benchmark Dataset V1.0 SILMA RAGQA is a dataset and benchmark created by silma.ai to assess the effectiveness of Arabic Language Models in Extractive Question Answering tasks, with a specific emphasis on RAG applications The benchmark includes 17 bilingual datasets in Arabic and English, spanning various domains What capabilities does the benchmark test? General Arabic and English QA capabilities Ability to handle short and long contexts Ability to… See the full description on the dataset page: https://huggingface.co/datasets/silma-ai/silma-rag-qa-benchmark-v1.0.

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