Update README.md

README.md

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+## 🧰 Code
+
+The full benchmarking code is available in the [`pangaea-bench/`](https://github.com/Sk-2103/Cryo-Bench/tree/main/pangaea-bench) directory, which contains dataset configs, encoder definitions, and decoder heads built on top of [PANGAEA](https://arxiv.org/abs/2412.04204).
+
 ## 📋 Tasks & Datasets
 
 Cryo-Bench includes five benchmark tasks covering key components of the cryosphere:
@@ -36,6 +40,20 @@ Cryo-Bench includes five benchmark tasks covering key components of the cryosphe
 
 The dataset contains the exact training, validation, and test splits used in **Cryo-Bench**, covering the **SICD, GLID, GLD, GSDD, and CaFFe** datasets.
 
+📥 Download Data
+Install the dependency:
+
+pip install huggingface_hub
+
+Download all datasets at once:
+
+python download_data.py
+
+Download specific datasets only:
+
+python download_data.py --datasets GLID GLD SICD
+
+
 ## 🏆 Benchmark Results
 
 Table below reports mIoU (↑) for all models evaluated with **frozen encoders** and **100% training data** using the UPerNet decoder. Rank (↓) is averaged across all five tasks. Baseline models (U-Net, ViT) are trained from scratch.