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README.md
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[SPHERE (Spatial Perception and Hierarchical Evaluation of REasoning)](https://arxiv.org/pdf/2412.12693) is a benchmark for assessing spatial reasoning in vision-language models. It introduces a hierarchical evaluation framework with a human-annotated dataset, testing models on tasks ranging from basic spatial understanding to complex multi-skill reasoning. SPHERE poses significant challenges for both state-of-the-art open-source and proprietary models, revealing critical gaps in spatial cognition.
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## Dataset Usage
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[SPHERE (Spatial Perception and Hierarchical Evaluation of REasoning)](https://arxiv.org/pdf/2412.12693) is a benchmark for assessing spatial reasoning in vision-language models. It introduces a hierarchical evaluation framework with a human-annotated dataset, testing models on tasks ranging from basic spatial understanding to complex multi-skill reasoning. SPHERE poses significant challenges for both state-of-the-art open-source and proprietary models, revealing critical gaps in spatial cognition.
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66178f9809f891c11c213a68/uavJU8X_fnd4m6wUYahLR.png" alt="SPHERE results summary" width="500"/>
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</p>
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66178f9809f891c11c213a68/g0___KuwnEJ37i6-W96Ru.png" alt="SPHERE dataset examples" width="400"/>
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</p>
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## Dataset Usage
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