Update README.md

README.md

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 - deep-learning
 - high-resolution
 
-github_link: https://github.com/HuskyNian/HR-Extreme
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 # HR-Extreme Dataset
 
 ## Overview
 HR-Extreme is a high-resolution dataset designed to evaluate the performance of state-of-the-art models in predicting extreme weather events. The dataset contains 17 types of extreme weather events from 2020, based on High-Resolution Rapid Refresh (HRRR) data. It is intended for researchers in weather forecasting, encompassing both physical and deep learning methods.
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+[Github Link](github_link: https://github.com/HuskyNian/HR-Extreme)
 ## Dataset Structure
 The dataset is divided into two main folders:
 - `202001_202006`: Contains data from January 2020 to June 2020.