F4biian/RAGognize
RAGognize Dataset Card Resource Link Code Paper Demo 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… See the full description on the dataset page: https://huggingface.co/datasets/F4biian/RAGognize.
| Author / organization | F4biian |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 642 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 March 2025 |
| Last updated at source | 20 April 2026 |
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- 16 Oct 2026 Description: RAGognize Dataset Card Resource Link Code Paper Demo 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 → RAGognize Dataset Card Resource Link Code Paper Demo 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
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