README.md

metadata

license: mit
tags:
  - electromagnetics
  - nanophotonics
  - jcmwave
  - optical-constants
  - parquet
configs:
  - config_name: metadata
    default: true
    data_files:
      - split: train
        path: metadata/train-*
  - config_name: validation
    data_files:
      - split: train
        path: validation/train-*

squiggles (metadata-fix)

OC-map FEM rebuild at 35 pixels per wavelength, with corrected geometries, Helmholtz residuals, and the resolved JCMsuite .jcm / .jcmp files used for each solve.

Configs

metadata (default)

One row per structure folder (sample_XXXX). Geometry comes from published optical-constant maps (not the old nested-interface metadata).

validation

One row per FEM incidence (theta in {0, 45}). Self-contained pixel map:

pitch_nm = wavelength_nm / pixels_per_wavelength
x_nm = x0_nm + ix * pitch_nm
y_nm = y0_nm + iy * pitch_nm

Also includes nested OC/E arrays, Helmholtz scalar metrics (s-pol staggered FD), and binary blobs of the generated project files:

• layout <- layout.jcm
• materials <- materials.jcm
• sources <- sources.jcm
• project <- project.jcmp (JCMsuite expanded project)
• grid <- grid.jcm

Load

from datasets import load_dataset
meta = load_dataset("als-rixs/latent-image-training", "metadata", split="train", revision="metadata-fix")
val = load_dataset("als-rixs/latent-image-training", "validation", split="train", revision="metadata-fix")
row = val[0]
layout_jcm = row["layout"]  # bytes