📖 Paper | 💻 GitHub
VREX is a multimodal dataset of challenging visual reasoning tasks requiring native multi-step exploration and an evaluation protocol. , introduced in "V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions".
It provides:
🔥 700+ samples and 2,500+ questions covering diverse application scenarios and practical challenges, such as diagrams, time estimation, GUI interpretation, and others..
🔥 15 real-world scenarios across 4 reasoning… See the full description on the dataset page:
https://huggingface.co/datasets/umd-zhou-lab/V-REX.
