Create README.md

README.md

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+---
+license: mit
+task_categories:
+- audio-to-audio
+language:
+- en
+---
+
+# Dataset Card for LenslessMic Version of N(0,1) Random Dataset
+
+## Dataset Summary
+A LenslessMic version of the N(0,1) random images dataset from the
+["LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging"](https://arxiv.org/abs/2509.16418) paper.
+The dataset can be used to train a codec-agnostic reconstruction algorithm.
+
+| Partition   | # Audio | # Frames |
+|--------------|---------|----------|
+| train        | 200     | 30000    |
+
+**Note**: We split dataset into 200 files, however, there are no actual audio files. Only frames are used.
+
+To download the dataset and work with it, use our [official repository](https://github.com/Blinorot/LenslessMic).
+
+Dataset is collected using [DigiCam](https://arxiv.org/abs/2502.01102). Setup configuration:
+
+| Parameter                                 | Value              |
+|-------------------------------------------|--------------------|
+| Screen Size                               | [1920, 1200]       |
+| Screen Pixel-Pitch                        | 0.27 mm            |
+| Screen-To-Mask Distance                   | 30e-2 m            |
+| Sensor Size                               | [4056, 3040]       |
+| Sensor Size Downsample Coefficient        | 8                  |
+| Sensor Pixel-Pitch                        | 1.55 × 10⁻⁶ m      |
+| Mask-To-Sensor Distance                   | ≈ 4e-3 m           |
+| Image size on the Screen (256 case)       | 928 × 928          |
+| Image size on the Screen (288 case)       | 1044 × 1044        |
+| Vertical Shift on the Screen (256 case)   | -23                |
+| Vertical Shift on the Screen (288 case)   | -20                |
+| Number of masks                           | 100                |
+| Mask Aperture Shape (for 1/3 channels)    | [18, 24]           |
+| Mask Center                               | [55, 77]           |
+
+For other configuration, please refer to the codebase above.
+
+## Dataset Structure
+Dataset is structured in the following format:
+
+```
+.
+└── partition_name
+    └── image_size # 16x16 or 32x32
+        ├── lensed # lensed version of the video representation
+        |   └── filename_i.mkv # normalized video representation of i-th audio file using this codec
+        └── lensless_measurement # lensless version captured using LenslessMic
+            ├── filename_i.mkv # lensless video of the i-th audio file
+            ├── filename_i.txt # label 'j' of the mask from the masks dir used for this video
+            └── masks # masks for the lensless camera
+                └── mask_j.npy # mask pattern
+```
+
+Apart from other LenslessMic datasets, this one does not use any audio codecs. These are just random images from N(0,1).
+The dataset can be used to train a codec-agnostic reconstruction algorithm. No min/max vals are used (set to 0 and 1).
+
+Some codecs have different types of lensless measurements:
+
+1. `lensless_measurement`: standard version. Resizes images in a screen in a such a way that they have size 256x256 on the sensor.
+
+Region of interest for the reconstruction for this dataset is:
+
+| Sensor Image Size | Top Left Corner | Height | Width |
+| ----------------- | --------------- | ------ | ----- |
+| 256 x 256         | [65, 118]       | 256    | 256   |
+
+
+## Citation
+
+If you use this dataset, please cite it as follows:
+
+```bibtex
+@article{grinberg2025lenslessmic,
+  title = {LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging},
+  author = {Grinberg, Petr and Bezzam, Eric and Prandoni, Paolo and Vetterli, Martin},
+  journal = {arXiv preprint arXiv:2509.16418},
+  year = {2025},
+}
+```
+