Update README.md

README.md

@@ -15,15 +15,29 @@ This repository contains the *WorldFloodsv2* dataset released with the publicati
 > E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7). _Scientific Reports 13, 20316_ (2023). DOI: 10.1038/s41598-023-47595-7.
 
 
-The [*WorldFloods* database](https://www.nature.com/articles/s41598-023-47595-7) contains 509 pairs of Sentinel-2 images and flood segmentation masks. Splitted in train, val and test sets.
-It requires approximately 310GB of hard-disk storage. 
+The [*WorldFloodsv2* database](https://www.nature.com/articles/s41598-023-47595-7) contains 509 pairs of Sentinel-2 images and flood segmentation masks. Splitted in train, val and test sets.
+It requires approximately 76GB of hard-disk storage. 
 
 
 <img src="worldfloods_v2.png" alt="licence" width="65%"/>
 
+## Download the dataset
+
+```
+huggingface-cli download --cache-dir /path/to/cachedir --local-dir /path/to/localdir/WorldFloodsv2 --repo-type dataset isp-uv-es/WorldFloodsv2
+```
+
+## Explore the dataset
+
+The [exploring *WorldFloodsv2*](https://spaceml-org.github.io/ml4floods/content/prep/exploring_worldfloods.html) tutorial in the [ml4floods](https://github.com/spaceml-org/ml4floods) package shows how to 
+process the dataset and plot the images and masks.
+
+## Licence
 
 The *WorldFloods* database and all pre-trained models are released under a [Creative Commons non-commercial licence](https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt)
 
+## Cite
+
 If you find this work useful, please cite:
 
 ```