In recent years, the field has seen a surge in the development of numerous vision-language (VL) models, such as MiniGPT-4 and LLaVA. These models showcase promising performance in tackling previously challenging tasks. However, effectively evaluating these models' performance has become a primary challenge hindering further advancement in large VL models. Traditional benchmarks like VQAv2 and COCO Caption are widely used to… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceM4/MMBench_dev.
