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---

pretty_name: SpecFormer Full-Spectrum 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 the Hugging Face friendly parquet export of the SpecFormer full-spectrum 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.

The 774-dimensional target is ordered as VIS-R, VIS-T, NIR-R, NIR-T, and normal-incidence IR emissivity. Spectral values are stored as `uint16` values scaled by 1000; divide by 1000 to recover normalized floating-point spectra in [0, 1].