Add link to paper, project page, and code

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  1. README.md +28 -14
README.md CHANGED
@@ -1,21 +1,25 @@
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  ---
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  license: mit
 
 
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  task_categories:
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- - tabular-regression
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- tags:
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- - thin-film
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- - optics
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- - photonics
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- - inverse-design
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- - transfer-matrix-method
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- - spectral-data
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  pretty_name: PRISM Thin-Film Optical Design Dataset
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- size_categories:
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- - 10M<n<100M
 
 
 
 
 
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  ---
 
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  # PRISM -- Thin-Film Optical Design Dataset
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- Synthetic dataset of thin-film multilayer optical stacks and their simulated reflectance/transmittance spectra. Generated for training and evaluating [PRISM](https://github.com/wang-henry4/prism) (Position-encoded Regressive Inverse Spectral Model), an autoregressive transformer for inverse thin-film design.
 
 
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  Each sample is a (materials, thicknesses, spectrum) triple: a thin-film stack definition and its physically simulated optical response.
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@@ -38,10 +42,20 @@ These subsets have no training split and are used to evaluate generalisation.
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  | `max_len_20_20nm` | 1--20 | 20 nm | 20--1000 nm | 10,000 | OOD thickness step |
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  | `max_len_30_10nm` | 20--30 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
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  | `max_len_40_10nm` | 30--40 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
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- | `max_len_50_10nm` | 40--50 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
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  | `thick/15nm` | 20 | 15 nm | 15--750 nm | 10,000 | Thick designs only (cum. depth >= 11,000 nm) |
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  | `thick/20nm` | 20 | 20 nm | 20--1000 nm | 10,000 | Thick designs only (cum. depth >= 11,000 nm) |
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  | `max_length_10` | 1--10 | 5 nm | 5--250 nm | 30,000 | Short sequence validation |
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- ## Github
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- https://github.com/wang-henry4/prism/blob/main/master_eval.sh
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ size_categories:
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+ - 10M<n<100M
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  task_categories:
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+ - other
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+ - tabular-regression
 
 
 
 
 
 
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  pretty_name: PRISM Thin-Film Optical Design Dataset
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+ tags:
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+ - thin-film
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+ - optics
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+ - photonics
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+ - inverse-design
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+ - transfer-matrix-method
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+ - spectral-data
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  ---
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+
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  # PRISM -- Thin-Film Optical Design Dataset
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+ [**Project Page**](https://www.prism-playground.com/) | [**Paper**](https://huggingface.co/papers/2605.26502) | [**Github**](https://github.com/wang-henry4/prism)
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+
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+ Synthetic dataset of thin-film multilayer optical stacks and their simulated reflectance/transmittance spectra. Generated for training and evaluating **PRISM** (Position-encoded Regressive Inverse Spectral Model), an autoregressive transformer for inverse thin-film design.
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  Each sample is a (materials, thicknesses, spectrum) triple: a thin-film stack definition and its physically simulated optical response.
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  | `max_len_20_20nm` | 1--20 | 20 nm | 20--1000 nm | 10,000 | OOD thickness step |
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  | `max_len_30_10nm` | 20--30 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
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  | `max_len_40_10nm` | 30--40 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
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+ | `max_len_50_10nm" | 40--50 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
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  | `thick/15nm` | 20 | 15 nm | 15--750 nm | 10,000 | Thick designs only (cum. depth >= 11,000 nm) |
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  | `thick/20nm` | 20 | 20 nm | 20--1000 nm | 10,000 | Thick designs only (cum. depth >= 11,000 nm) |
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  | `max_length_10` | 1--10 | 5 nm | 5--250 nm | 30,000 | Short sequence validation |
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{wang2024prism,
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+ title={PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design},
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+ author={Runtian Wang and Renhao Xue and Baige Chen and Hao Wu},
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+ year={2024},
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+ eprint={2605.26502},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG}
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+ }
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+ ```