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README.md

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 ## WorldFloods Φsat-2 dataset
 
-The **WorldFloods Φsat-2 dataset** is an adaptation of the [WorldFloodsv2 dataset](https://huggingface.co/datasets/isp-uv-es/WorldFloodsv2) created with the purpose of simulating a Φsat-2-like dataset for traning Foundation Models for this mission. 
+The **WorldFloods Φsat-2 dataset** is an adaptation of the [WorldFloods v2 dataset](https://huggingface.co/datasets/isp-uv-es/WorldFloodsv2) created with the purpose of simulating a Φsat-2-like dataset for training Foundation Models for this mission. 
 Φsat-2 images were simulated using the code in the [OrbitalAI Challenge](https://github.com/AI4EO/orbitalAI). For storing the dataset, we followed the [PhiSatNet repo](https://github.com/sirbastiano/PhiSatNet) Data Specification Format.
-Since the WorldFloodsv2 dataset contains full flood scenes rather than small patches, we created non-overlapping Train and Validation patches of size 512x512 pixels from the simulated images, and only stored patches with less than 20% cloud cover, as we do on the fly to train the flood segmentation models described in the paper [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7).
+Since the WorldFloods v2 dataset contains full flood scenes rather than small patches, we created non-overlapping Train and Validation patches of size 512x512 pixels from the simulated images, and only stored patches with less than 20% cloud cover, as we do on the fly to train the flood segmentation models described in the paper [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7).
 For Test samples, however, we kept the full scenes as this allows a better evaluation of flood detection models. 
 The total size of the dataset is 389 GB.