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/AutoMatThe dataset is organized into three tiers of increasing difficulty:
benchmark/
├── tier1/
│ ├── img/ # STEM images (e.g., PNG, TIFF)
│ ├── label/ # Atomic position labels… See the full description on the dataset page:
https://huggingface.co/datasets/yaotianvector/STEM2Mat.
