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README.md

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 This repository hosts the M3DRS dataset, a comprehensive collection of 5-channel remote sensing images (RGB, NIR, nDSM) from Switzerland, France, and Italy. The dataset is unlabelled and specifically designed to support self-supervised learning tasks. It is part of our submission to the NeurIPS 2025 Datasets and Benchmarks Track. The dataset is organized into three folders, each containing ZIP archives of images grouped by location or in batches of 500. The dataset supports research in multi-modal learning, semantic segmentation, and geospatial analysis.
 
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+## 🧪 Benchmarking & Code
+
+The M3DRS dataset is accompanied by a benchmark suite with ScaleMAE for pretraining and baseline models available at our GitHub repository:
+
+🔗 [https://github.com/swiss-territorial-data-lab/proj-vit](https://github.com/swiss-territorial-data-lab/proj-vit)
+
+This includes tools for data preprocessing, model training, and evaluation.
 
 For dataset configuration or details, please use a [discussion](https://huggingface.co/datasets/heig-vd-geo/M3DRS/discussions) in this repository.
 
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-## 🧪 Benchmarking & Code
-
-The M3DRS dataset is accompanied by a benchmark suite with ScaleMAE for pretraining and baseline models available at our GitHub repository:
-
-🔗 [https://github.com/swiss-territorial-data-lab/proj-vit](https://github.com/swiss-territorial-data-lab/proj-vit)
-
-This includes tools for data preprocessing, model training, and evaluation.
-
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-
 ## ⚖️ License
 
 The dataset is composed of public open data sources. Please refer to the `NOTICE` file in the root of this repository for detailed licensing information and attributions for each data source.