Datasetpublic

MKoumans/pidu-data

PIDU simulated datasets Simulated infrared spectra (Transfer Matrix Method, random Drude-Lorentz layer and oscillator parameters) with their ground-truth parameters, used to train and test the models of Physics-infused Deep Unfolding for Automated Material Parameter Extraction of Optical Data (Koumans, Stevens, van Sloun, van Mechelen). Code: https://github.com/MKoumans/PIDU · Checkpoints: MKoumans/pidu-optical-parameter-extraction Contents Path Content… See the full description on the dataset page: https://huggingface.co/datasets/MKoumans/pidu-data.

sourceHugging Facecc-by-4.0updated 1d agoView on Hugging Face

0likes108downloads

Dataset Card

PIDU simulated datasets

Simulated infrared spectra (Transfer Matrix Method, random Drude-Lorentz layer and oscillator parameters) with their ground-truth parameters, used to train and test the models of Physics-infused Deep Unfolding for Automated Material Parameter Extraction of Optical Data (Koumans, Stevens, van Sloun, van Mechelen).

Code: https://github.com/MKoumans/PIDU · Checkpoints: `MKoumans/pidu-optical-parameter-extraction`

Path	Content
`data/datasets/usecase1/*.npz`	Use case 1: train / val / test sets
`data/datasets/usecase2/*.npz`	Use case 2: train / val / test sets, with (`wsn`) and without (`nwsn`) the second system
`data/labels/*.xlsx`	Label mappings used during dataset generation
`outputs/case<N>/outputs/loss_{CNN,DU,PIDU}_<i>_001/`	Test exports of the trained runs (8 seeds per model; use case 2 includes `test_exp`, the predictions on the measured spectra)
`outputs/case<N>/loss/loss_{CNN,DU,PIDU}_<i>_001/`	Per-epoch train / val / test loss of those runs
`outputs/case<N>/logs/train_<TYPE>_<i>.log`	Training logs of those runs
`models/usecase<N>/<TYPE>-t01-<i>.pt`	Checkpoints of those runs (the Fig. 2 timings average over seeds)
`outputs/case<N>/outputs/loss_lma_{baseline,noisy,random}/`	TRF (LMA) baseline: use case 1 on the 1024 simulated test spectra, use case 2 on the 75 measured spectra

Each .npz holds the clean spectra (data_y_*), noised spectra (data_y_noised_*), initial and target parameters (data_x_*), and the wavenumber axis (wn_*).

Not included: the experimental SrTiO₃ measurements themselves (the predictions and fits on them are).

Usage

bash

pidu-hub download --usecase 1 2                    # everything
pidu-hub download --what data logs --usecase 1      # datasets and training logs only

Citation

To be added.