Datasets:
Tasks:
Image-to-3D
Modalities:
Image
Formats:
imagefolder
Size:
1K - 10K
ArXiv:
Tags:
chemistry
License:
Add task category and link to Github repository (#2)
Browse files- Add task category and link to Github repository (a75618ba373b905aec793b48085bc096653278c2)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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license: mit
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tags:
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- chemistry
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pretty_name: STEM2Mat
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size_categories:
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- 1K<n<10K
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# AutoMat Benchmark: STEM Image to Crystal Structure
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The **AutoMat Benchmark** is a multimodal dataset designed to evaluate deep‑learning systems for iDPC-STEM‑based crystal‑structure reconstruction and property prediction.
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## 📁 Dataset Structure
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license: mit
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size_categories:
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- 1K<n<10K
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pretty_name: STEM2Mat
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tags:
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- chemistry
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task_categories:
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- image-to-3d
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# AutoMat Benchmark: STEM Image to Crystal Structure
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The **AutoMat Benchmark** is a multimodal dataset designed to evaluate deep‑learning systems for iDPC-STEM‑based crystal‑structure reconstruction and property prediction.
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Code: https://github.com/yyt-2378/AutoMat
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## 📁 Dataset Structure
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