Dataset · Hugging Face

m-Just/O3-Bench

Name: O3-Bench
Creator: m-Just
Keywords: task_categories:question-answering, task_categories:image-text-to-text, language:en, size_categories:n<1K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, arxiv:2512.18745, doi:10.57967/hf/9753, region:us, multimodal, reasoning, agent

Benchmarking High-Resolution, Multi-Hop Multimodal Reasoning over Digital Maps and Composite Charts Can your AI agent truly "think with images"? O3-Bench is an ICLR 2026 multimodal reasoning benchmark that evaluates visual search, fine-grained perception, and multi-hop reasoning over high-resolution digital maps and composite charts. It tests how well an AI agent can truly "think with images" with interleaved attention to visual details. O3-Bench is designed… See the full description on the dataset page: https://huggingface.co/datasets/m-Just/O3-Bench.

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Author / organization	m-Just
Downloads	569 (as reported by Hugging Face)
Likes	17
Created	24 December 2025
Last updated at source	28 July 2026

multimodalreasoningagentthinking-with-imageshigh-resolutionmapmap-vqamap-question-answeringcartographic-reasoninggeospatial-reasoningdigital-map-understandingmulti-hop-visual-reasoningchart-question-answeringvisual-searchmultimodal-agent

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