Create metadata.json

metadata.json

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+{
+  "dataset_name": "Synthetic Inline Holographical Images",
+  "version": "1.0.0",
+  "description": "A synthetic dataset of inline holographical triplets including object-domain images, forward-propagated holograms, and their numerical reconstructions.",
+  "source": "https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography/",
+  "license": "MIT",
+  "author": "Gökhan Koçmarlı (Gyokhan Kochmarla)",
+  "created_date": "2025-11-09",
+  "task_categories": [
+    "image-to-image",
+    "image-segmentation",
+    "image-classification",
+    "image-feature-extraction",
+    "zero-shot-image-classification"
+  ],
+  "tags": [
+    "holography",
+    "hologram",
+    "inline-holography",
+    "synthetic",
+    "wave-propagation",
+    "reconstruction",
+    "signal-processing"
+  ],
+  "structure": {
+    "object": "Grayscale amplitude or intensity images representing the object domain (2D real-valued array).",
+    "hologram": "Simulated inline holograms obtained by forward propagation from the object plane.",
+    "reconstruction": "Numerically reconstructed images from holograms using back-propagation algorithms.",
+  },
+  "file_format": {
+    "arrays": "NumPy NPZ (float64 arrays)"
+  },
+  "n_samples": "=100,000",
+  "split": "No predefined split; all samples are stored in one collection.",
+  "example_filenames": ["sample_09018_rectangle_checker.npz""],
+  "data_creator": "Generated synthetically using the HoloGen simulation framework (https://github.com/electricalgorithm/hologen).",
+  "citation": {
+    "bibtex": "@misc{koçmarlı2025hologen,\n  author = {Gökhan Koçmarlı},\n  title = {Synthetic Inline Holographical Images Dataset},\n  year = {2025},\n  howpublished = {\\url{https://https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography}}\n}"
+  }
+}