TerryHWong/PRE-HAL

PRE-HAL: Multimodal Hallucination Evaluation Benchmark Dataset Summary PRE-HAL is a visual question answering (VQA) dataset designed to evaluate and mitigate hallucination in Multimodal Large Language Models (MLLMs). It focuses on testing the model's ability to distinguish between visual perception and parametric knowledge, specifically targeting various hallucination types. Data Instances Each instance represents a multiple-choice question… See the full description on the dataset page: https://huggingface.co/datasets/TerryHWong/PRE-HAL.