README.md

---
license: mit
size_categories:
- 10M<n<100M
task_categories:
- other
- tabular-regression
pretty_name: PRISM Thin-Film Optical Design Dataset
tags:
- thin-film
- optics
- photonics
- inverse-design
- transfer-matrix-method
- spectral-data
---

# PRISM -- Thin-Film Optical Design Dataset

[**Project Page**](https://www.prism-playground.com/) | [**Paper**](https://huggingface.co/papers/2605.26502) | [**Github**](https://github.com/wang-henry4/prism)

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.

Each sample is a (materials, thicknesses, spectrum) triple: a thin-film stack definition and its physically simulated optical response.

## Subsets

### Training data

| Subset | Layers | Thickness step | Thickness range | Splits | Total samples |
|---|---|---|---|---|---|
| `max_len_20_10nm` | 1--20 | 10 nm | 10--500 nm | train / dev / val | 10,110,000 |

### Validation-only (out-of-distribution)

These subsets have no training split and are used to evaluate generalisation.

| Subset | Layers | Thickness step | Thickness range | Samples | Purpose |
|---|---|---|---|---|---|
| `max_len_20_5nm` | 1--20 | 5 nm | 5--250 nm | 110,000 | Dev + val for 5 nm (alternate path) |
| `max_len_20_15nm` | 1--20 | 15 nm | 15--750 nm | 20,000 | OOD thickness step |
| `max_len_20_20nm` | 1--20 | 20 nm | 20--1000 nm | 10,000 | OOD thickness step |
| `max_len_30_10nm` | 20--30 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
| `max_len_40_10nm` | 30--40 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
| `max_len_50_10nm" | 40--50 | 10 nm | 10--500 nm | 10,000 | OOD sequence length |
| `thick/15nm` | 20 | 15 nm | 15--750 nm | 10,000 | Thick designs only (cum. depth >= 11,000 nm) |
| `thick/20nm` | 20 | 20 nm | 20--1000 nm | 10,000 | Thick designs only (cum. depth >= 11,000 nm) |
| `max_length_10` | 1--10 | 5 nm | 5--250 nm | 30,000 | Short sequence validation |

## Citation

```bibtex
@misc{wang2024prism,
      title={PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design}, 
      author={Runtian Wang and Renhao Xue and Baige Chen and Hao Wu},
      year={2024},
      eprint={2605.26502},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}
```