Update README.md

README.md

@@ -5,4 +5,63 @@ tags:
 - low-light
 - denoising
 - real-world
----
+---
+
+# [WACV'26] Low-light Smartphone Dataset (LSD)
+
+This is the official dataset proposed in our paper titled **"Illuminating Darkness: Learning to Enhance Low-light Images In-the-Wild"**
+
+📄 **Paper:** [arXiv](https://arxiv.org/abs/2503.06898)  
+💻 **Code:** [GitHub - LSD-TFFormer](https://github.com/sharif-apu/LSD-TFFormer)
+
+## Overview
+
+We introduce **LSD**, the largest in-the-wild Single-Shot Low-Light Image Enhancement (SLLIE) dataset to date.
+
+## Dataset Structure
+
+This repository contains the following training data files:
+
+- `patch_DLL_gtPatch.tar.gz`
+- `patch_DLL_inputPatch.tar.gz`
+- `patch_NLL_gtPatch.tar.gz`
+- `patch_NLL_inputPatch.tar.gz`
+
+### Categories
+
+- **DLL (Denoised Low-Light):** For low-light enhancement training
+- **NLL (Noisy Low-Light):** For joint denoising + enhancement training
+
+### File Organization
+
+- `inputPatch`: Low-light input images
+- `gtPatch`: Ground truth (well-lit) reference images
+
+## Usage
+
+Extract the archives to access the training patches:
+
+```bash
+tar -xzf patch_DLL_gtPatch.tar.gz
+tar -xzf patch_DLL_inputPatch.tar.gz
+tar -xzf patch_NLL_gtPatch.tar.gz
+tar -xzf patch_NLL_inputPatch.tar.gz
+```
+
+## Dataset Status
+
+✅ **Training Dataset:** Available (current files)  
+🔄 **Test Dataset:** Coming soon
+
+
+## Citation
+You can cite our preprint as:
+
+```bibtex
+@article{sharif2025illuminating,
+  title={Illuminating darkness: Enhancing real-world low-light scenes with smartphone images},
+  author={Sharif, SMA and Rehman, Abdur and Abidin, Zain Ul and Naqvi, Rizwan Ali and Dharejo, Fayaz Ali and Timofte, Radu},
+  journal={arXiv preprint arXiv:2503.06898},
+  year={2025}
+}
+```