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.
High-Resolution Images: Contains high-resolution image inputs, requiring the model to possess fine-grained visual perception… See the full description on the dataset page:
https://huggingface.co/datasets/sensenova/HR-MMSearch.
