sensenova/HR-MMSearch

Dataset Description HR-MMSearch is a benchmark designed to evaluate the Agentic Reasoning and Search capabilities of Multimodal Large Language Models in complex visual tasks. This dataset was introduced by SenseTime Research in the paper SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning. Key Features: High-Resolution Images: Contains high-resolution image inputs, requiring the model to possess fine-grained visual… See the full description on the dataset page: https://huggingface.co/datasets/sensenova/HR-MMSearch.