Create README.md

README.md

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+---
+task_categories:
+- image-segmentation
+---
+# SegMunich 
+**SegMunich** is a segmentation task dataset that is Sentinel-2 satellite based. It contains spectral imagery of Munich's urban landscape over a span of three years. 
+
+Please refer to the original paper for more detailed information about the original SegMunich dataset:
+- Paper: https://arxiv.org/abs/2311.07113
+
+## How to Use This Dataset
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("GFM-Bench/SegMunich")
+```
+
+Also, please see our [GFM-Bench](https://github.com/uiuctml/GFM-Bench) repository for more information about how to use the dataset! 🤗
+
+## Dataset Metadata
+
+The following metadata provides details about the Sentinel-2 imagery used in the dataset:
+<!--- **Number of Sentinel-1 Bands**: 2-->
+<!--- **Sentinel-1 Bands**: VV, VH-->
+- **Number of Sentinel-2 Bands**: 10
+- **Sentinel-2 Bands**: B01 (**Coastal aerosol**), B02 (**Blue**), B03 (**Green**), B04 (**Red**), B05 (**Vegetation red edge**), B06 (**Vegetation red edge**), B07 (**Vegetation red edge**), B8A (**Narrow NIR**), B11 (**SWIR**), B12 (**SWIR**)
+- **Image Resolution**: 128 x 128 pixels
+- **Spatial Resolution**: 10 meters 
+- **Number of Classes**: 13
+
+## Dataset Splits
+The **SegMunich** dataset consists following splits:
+- **train**: 3,000 samples
+- **val**: 403 samples
+- **test**: 403 samples
+
+## Dataset Features:
+The **SegMunich** dataset consists of following features:
+<!--- **radar**: the Sentinel-1 image.-->
+- **optical**: the Sentinel-2 image.
+- **label**: the segmentation labels.
+<!--- **radar_channel_wv**: the central wavelength of each Sentinel-1 bands.-->
+- **optical_channel_wv**: the central wavelength of each Sentinel-2 bands.
+- **spatial_resolution**: the spatial resolution of images.
+## Citation
+If you use the SegMunich dataset in your work, please cite the original paper:
+```
+@article{hong2024spectralgpt,
+  title={SpectralGPT: Spectral remote sensing foundation model},
+  author={Hong, Danfeng and Zhang, Bing and Li, Xuyang and Li, Yuxuan and Li, Chenyu and Yao, Jing and Yokoya, Naoto and Li, Hao and Ghamisi, Pedram and Jia, Xiuping and others},
+  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
+  year={2024},
+  publisher={IEEE}
+}
+```