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.

Each instance represents a multiple-choice question associated with an… See the full description on the dataset page: https://huggingface.co/datasets/TerryHWong/PRE-HAL.