| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: filename | |
| dtype: string | |
| - name: density | |
| dtype: float64 | |
| - name: mod_norm | |
| dtype: float64 | |
| splits: | |
| - name: train | |
| num_bytes: 49950332 | |
| num_examples: 4000 | |
| - name: test | |
| num_bytes: 12773701 | |
| num_examples: 1000 | |
| download_size: 62536678 | |
| dataset_size: 62724033 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
|  | |
|  | |
| Reference: S. Shen, M. Buehler, "Nature-inspired architected materials using unsupervised deep learning", https://www.nature.com/articles/s44172-022-00037-0, 2022 | |