F4biian/

RAGognize

	RAGognize Dataset Card




	

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In Retrieval-Augmented Generation (RAG), ensuring accuracy and reliability is essential. RAGognize is a dataset created to help researchers and developers study and improve how AI systems use retrieved information. By offering structured examples and natural token-level closed-domain hallucination annotations, it provides a resource for analyzing model behavior and developing methods that might help make RAG… See the full description on the dataset page: https://huggingface.co/datasets/F4biian/RAGognize.