Datasets:
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**Open-MM-RL** is a multimodal STEM reasoning dataset covering **Physics, Mathematics, Biology, and Chemistry**. It is designed for problems that require models to interpret visual information and combine it with step-by-step analytical reasoning.
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Compared with existing multimodal reasoning benchmarks, Open-MM-RL broadens the evaluation setting beyond standard single-image question answering by including multi-panel and multi-image tasks that require integrating information across more complex visual contexts. As rarely in real-life problems is context confined to a single image. Instead, the necessary information is often fragmented across multiple related images, requiring scientists to reason across them to find the solution.
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The dataset includes three multimodal input formats:
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**Open-MM-RL** is a multimodal STEM reasoning dataset covering **Physics, Mathematics, Biology, and Chemistry**. It is designed for problems that require models to interpret visual information and combine it with step-by-step analytical reasoning.
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Explore the full Open-MM-RL dataset (3,000 tasks coming soon): https://go.turing.com/open-mm-rl
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Compared with existing multimodal reasoning benchmarks, Open-MM-RL broadens the evaluation setting beyond standard single-image question answering by including multi-panel and multi-image tasks that require integrating information across more complex visual contexts. As rarely in real-life problems is context confined to a single image. Instead, the necessary information is often fragmented across multiple related images, requiring scientists to reason across them to find the solution.
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The dataset includes three multimodal input formats:
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