Manoharareddy/MedHallu

Dataset Card for MedHallu MedHallu is a comprehensive benchmark dataset designed to evaluate the ability of large language models to detect hallucinations in medical question-answering tasks. Dataset Details Dataset Description MedHallu is intended to assess the reliability of large language models in a critical domain—medical question-answering—by measuring their capacity to detect hallucinated outputs. The dataset includes two distinct splits:… See the full description on the dataset page: https://huggingface.co/datasets/Manoharareddy/MedHallu.