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latent-image-training

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2

OC-FEM metadata-fix: corrected geometries, Helmholtz, JCM blobs

#2
by hduvallh - opened
base: refs/heads/main
←
from: refs/pr/2
Discussion Files changed
+32743
-314906
This view is limited to 50 files because it contains too many changes. See the raw diff here.
Files changed (50) hide show
  1. README.md +26 -53
  2. check_meta_rgb.png +3 -0
  3. manifest.json +10 -6
  4. metadata/train-00000-of-00001.parquet +2 -2
  5. samples/sample_0000/domain_ids.npz +2 -2
  6. samples/sample_0000/geometry.json +142 -1585
  7. samples/sample_0000/geometry.png +2 -2
  8. samples/sample_0000/pixel_map.json +13 -0
  9. samples/sample_0001/domain_ids.npz +2 -2
  10. samples/sample_0001/geometry.json +158 -1555
  11. samples/sample_0001/geometry.png +2 -2
  12. samples/sample_0001/pixel_map.json +13 -0
  13. samples/sample_0002/domain_ids.npz +2 -2
  14. samples/sample_0002/geometry.json +150 -1561
  15. samples/sample_0002/geometry.png +2 -2
  16. samples/sample_0002/pixel_map.json +13 -0
  17. samples/sample_0003/domain_ids.npz +2 -2
  18. samples/sample_0003/geometry.json +142 -1573
  19. samples/sample_0003/geometry.png +2 -2
  20. samples/sample_0003/pixel_map.json +13 -0
  21. samples/sample_0004/domain_ids.npz +2 -2
  22. samples/sample_0004/geometry.json +142 -1561
  23. samples/sample_0004/geometry.png +2 -2
  24. samples/sample_0004/pixel_map.json +13 -0
  25. samples/sample_0005/domain_ids.npz +2 -2
  26. samples/sample_0005/geometry.json +158 -1585
  27. samples/sample_0005/geometry.png +2 -2
  28. samples/sample_0005/pixel_map.json +13 -0
  29. samples/sample_0006/domain_ids.npz +2 -2
  30. samples/sample_0006/geometry.json +158 -1555
  31. samples/sample_0006/geometry.png +2 -2
  32. samples/sample_0006/pixel_map.json +13 -0
  33. samples/sample_0007/domain_ids.npz +2 -2
  34. samples/sample_0007/geometry.json +134 -1579
  35. samples/sample_0007/geometry.png +2 -2
  36. samples/sample_0007/pixel_map.json +13 -0
  37. samples/sample_0008/domain_ids.npz +2 -2
  38. samples/sample_0008/geometry.json +150 -1567
  39. samples/sample_0008/geometry.png +2 -2
  40. samples/sample_0008/pixel_map.json +13 -0
  41. samples/sample_0009/domain_ids.npz +2 -2
  42. samples/sample_0009/geometry.json +150 -1573
  43. samples/sample_0009/geometry.png +2 -2
  44. samples/sample_0009/pixel_map.json +13 -0
  45. samples/sample_0010/domain_ids.npz +2 -2
  46. samples/sample_0010/geometry.json +142 -1567
  47. samples/sample_0010/geometry.png +2 -2
  48. samples/sample_0010/pixel_map.json +13 -0
  49. samples/sample_0011/domain_ids.npz +2 -2
  50. samples/sample_0011/geometry.json +158 -1561
README.md CHANGED
@@ -18,71 +18,44 @@ configs:
18
  path: validation/train-*
19
  ---
20
 
21
- # squiggles
22
 
23
- Layered-stack squiggles dataset with three coherent access paths:
 
 
24
 
25
- 1. ``samples/sample_XXXX`` folder archive plus ``squiggles_loader.py``
26
- 2. ``metadata`` parquet config: one row per folder sample (geometry image + params)
27
- 3. ``validation`` parquet config: FEM cases with ``k_vector``, optical diagonal
28
- ``(n_y, n_x, 3)``, and electric field ``(n_y, n_x, 3)``
29
 
30
- ## Folder archive
31
 
32
- ```text
33
- samples/sample_XXXX/
34
- geometry.json
35
- geometry.png
36
- domain_ids.npz
37
- ooc/
38
- fields/ # optional on older exports
39
- squiggles_loader.py
40
- ```
41
-
42
- Use ``squiggles_loader.load_sample`` for per-folder evaluation.
43
-
44
- ## Parquet configs
45
-
46
- ### ``metadata`` (default)
47
-
48
- Columns include ``sample_id`` (``sample_XXXX``), ``structure_label``,
49
- ``shape_params``, flattened ``domain_ids``, and Hub ``rgb_image``.
50
 
51
- ### ``validation``
52
 
53
- Columns include ``sample_id`` (structure label such as ``interior_0000``),
54
- ``run_id``, ``pol``, ``k_vector`` (rad/nm), ``grid_ny`` / ``grid_nx``, and
55
- nested real/imag maps with shape ``(n_y, n_x, 3)`` for optical constants and
56
- E-fields:
57
 
58
- ```python
59
- optical = (
60
- np.asarray(row["optical_constant_real"], dtype=np.float32)
61
- + 1j * np.asarray(row["optical_constant_imag"], dtype=np.float32)
62
- )
63
- efield = (
64
- np.asarray(row["e_field_real"], dtype=np.float32)
65
- + 1j * np.asarray(row["e_field_imag"], dtype=np.float32)
66
- )
67
  ```
68
 
69
- Grids vary per structure, so maps are nested lists rather than fixed
70
- ``Array3D``. ``metadata.structure_label`` and ``validation.sample_id`` share
71
- the same label namespace. Folder hypercube draws and FEM campaign draws may
72
- come from different regenerations; compare ``geometry_json`` / structure
73
- payloads before joining.
 
 
 
74
 
75
  ## Load
76
 
77
  ```python
78
  from datasets import load_dataset
79
- meta = load_dataset("als-rixs/latent-image-training", "metadata", split="train")
80
- val = load_dataset("als-rixs/latent-image-training", "validation", split="train")
81
- meta[0]["rgb_image"]
82
- ```
83
-
84
- ```python
85
- import pyarrow.parquet as pq
86
- print(pq.read_table("metadata/train-00000-of-00001.parquet").num_rows)
87
- print(pq.read_table("validation/train-00000-of-00001.parquet").num_rows)
88
  ```
 
18
  path: validation/train-*
19
  ---
20
 
21
+ # squiggles (metadata-fix)
22
 
23
+ OC-map FEM rebuild at **35 pixels per wavelength**, with corrected geometries,
24
+ Helmholtz residuals, and the **resolved JCMsuite `.jcm` / `.jcmp` files** used
25
+ for each solve.
26
 
27
+ ## Configs
 
 
 
28
 
29
+ ### `metadata` (default)
30
 
31
+ One row per structure folder (`sample_XXXX`). Geometry comes from published
32
+ optical-constant maps (not the old nested-interface metadata).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
 
34
+ ### `validation`
35
 
36
+ One row per FEM incidence (`theta` in `{0, 45}`). Self-contained pixel map:
 
 
 
37
 
38
+ ```text
39
+ pitch_nm = wavelength_nm / pixels_per_wavelength
40
+ x_nm = x0_nm + ix * pitch_nm
41
+ y_nm = y0_nm + iy * pitch_nm
 
 
 
 
 
42
  ```
43
 
44
+ Also includes nested OC/E arrays, Helmholtz scalar metrics (s-pol staggered FD),
45
+ and binary blobs of the generated project files:
46
+
47
+ - `layout` <- `layout.jcm`
48
+ - `materials` <- `materials.jcm`
49
+ - `sources` <- `sources.jcm`
50
+ - `project` <- `project.jcmp` (JCMsuite expanded project)
51
+ - `grid` <- `grid.jcm`
52
 
53
  ## Load
54
 
55
  ```python
56
  from datasets import load_dataset
57
+ meta = load_dataset("als-rixs/latent-image-training", "metadata", split="train", revision="metadata-fix")
58
+ val = load_dataset("als-rixs/latent-image-training", "validation", split="train", revision="metadata-fix")
59
+ row = val[0]
60
+ layout_jcm = row["layout"] # bytes
 
 
 
 
 
61
  ```
check_meta_rgb.png ADDED

Git LFS Details

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  • Size of remote file: 35.4 kB
manifest.json CHANGED
@@ -1,16 +1,20 @@
1
  {
2
  "name": "squiggles",
3
- "schema": "structures-pipeline-v2-metadata-validation",
4
- "samples_dir": "/global/u2/h/hdh/JCMwave_modeling/outputs/layered_stack/squiggles",
 
5
  "polarization": "s",
6
  "incidence": "FromAbove",
 
 
7
  "configs": {
8
  "metadata": "metadata/train-*",
9
  "validation": "validation/train-*"
10
  },
11
  "notes": [
12
- "samples/ folder archive remains the source of truth for squiggles_loader",
13
- "metadata.sample_id uses sample_XXXX folder names",
14
- "validation.sample_id uses structure labels such as interior_XXXX"
 
15
  ]
16
- }
 
1
  {
2
  "name": "squiggles",
3
+ "branch": "metadata-fix",
4
+ "schema": "oc-fem-px35-helmholtz-v1",
5
+ "pixels_per_wavelength": 35.0,
6
  "polarization": "s",
7
  "incidence": "FromAbove",
8
+ "n_metadata_rows": 200,
9
+ "n_validation_rows": 400,
10
  "configs": {
11
  "metadata": "metadata/train-*",
12
  "validation": "validation/train-*"
13
  },
14
  "notes": [
15
+ "metadata.geometry_json is OC-derived (correct for published FEM)",
16
+ "validation stores resolved JCM job files as binary blobs",
17
+ "project blob is project.jcmp as emitted by JCMsuite",
18
+ "pixel map uses wavelength_nm / pixels_per_wavelength"
19
  ]
20
+ }
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