dheenab/EXAMS-V

EXAMS-V: ImageCLEF 2025 – Multimodal Reasoning Dimitar Iliyanov Dimitrov, Hee Ming Shan, Zhuohan Xie, Rocktim Jyoti Das , Momina Ahsan, Sarfraz Ahmad, Nikolay Paev, Ali Mekky, Omar El Herraoui, Rania Hossam, Nurdaulet Mukhituly, Akhmed Sakip, Ivan Koychev, Preslav Nakov INTRODUCTION EXAMS-V is a multilingual, multimodal dataset created to evaluate and benchmark the visual reasoning abilities of AI systems, especially Vision-Language Models (VLMs). The dataset… See the full description on the dataset page: https://huggingface.co/datasets/dheenab/EXAMS-V.