Datasets:
| pretty_name: PhyOptoFlow Reduced Optical Thin-Film Dataset | |
| license: cc-by-4.0 | |
| task_categories: | |
| - other | |
| task_ids: | |
| - regression | |
| tags: | |
| - photonics | |
| - optics | |
| - materials-science | |
| - inverse-design | |
| - thin-films | |
| - multilayer | |
| - spectrum | |
| - parquet | |
| size_categories: | |
| - 10M<n<100M | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: train/*.parquet | |
| - split: validation | |
| path: val/*.parquet | |
| - split: test | |
| path: test/*.parquet | |
| This dataset is a reduced Hugging Face friendly parquet export of the PhyOptoFlow optical multilayer thin-film dataset. It contains 10,000,000 training samples, 500,000 validation samples, and 500,000 test samples. Each sample stores compact uint16 spectral targets together with padded structural labels and fabrication-related constraints for inverse design and spectrum-conditioned modeling tasks. | |