yaotianvector/STEM2Mat

AutoMat Benchmark: STEM Image to Crystal Structure The AutoMat Benchmark is a multimodal dataset designed to evaluate deep‑learning systems for iDPC-STEM‑based crystal‑structure reconstruction and property prediction. Code: https://github.com/yyt-2378/AutoMat 📁 Dataset Structure The dataset is organized into three tiers of increasing difficulty: benchmark/ ├── tier1/ │ ├── img/ # STEM images (e.g., PNG, TIFF) │ ├── label/ # Atomic position… See the full description on the dataset page: https://huggingface.co/datasets/yaotianvector/STEM2Mat.