Datasets:
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license: mit
task_categories:
- tabular-regression
tags:
- thin-film
- optics
- photonics
- inverse-design
- transfer-matrix-method
- spectral-data
pretty_name: PRISM Thin-Film Optical Design Dataset
size_categories:
- 10M<n<100M
---
# PRISM -- Thin-Film Optical Design Dataset
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.
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 |
## Github
https://github.com/wang-henry4/prism/blob/main/master_eval.sh |