Dataset card: run exports, logs, checkpoints, LMA

README.md

@@ -24,16 +24,22 @@ Code: https://github.com/MKoumans/PIDU · Checkpoints: [`MKoumans/pidu-optical-p
 | `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.
+**Not included:** the experimental SrTiO₃ measurements themselves (the predictions and fits on them are).
 
 ## Usage
 
 ```bash
-pidu-hub download --what data --usecase 1 2
+pidu-hub download --usecase 1 2                    # everything
+pidu-hub download --what data logs --usecase 1      # datasets and training logs only
 ```
 
 ## Citation