neural-bridge/rag-hallucination-dataset-1000

Retrieval-Augmented Generation (RAG) Hallucination Dataset 1000 Retrieval-Augmented Generation (RAG) Hallucination Dataset 1000 is an English dataset designed to reduce the hallucination in RAG-optimized models, built by Neural Bridge AI, and released under Apache license 2.0. Dataset Description Dataset Summary Hallucination in large language models (LLMs) refers to the generation of incorrect, nonsensical, or unrelated text that does not stem from an… See the full description on the dataset page: https://huggingface.co/datasets/neural-bridge/rag-hallucination-dataset-1000.

<iframe src="https://silytics.si/embed/item/c8bc6dee-980e-4a88-bf8a-c6cf9b8599b5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.