Update README.md

README.md

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 license: cc-by-4.0
 tags:
 - croissant
----
+- weather-forecasting
+- extreme-weather
+- deep-learning
+- high-resolution
+
+github_link: https://github.com/HuskyNian/HR-Extreme
+---
+
+# 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.
+
+## Dataset Structure
+The dataset is divided into two main folders:
+- `202001_202006`: Contains data from January 2020 to June 2020.
+- `202007_202012`: Contains data from July 2020 to December 2020.
+
+Each folder stores the dataset in the WebDataset format, following Hugging Face's recommendations. Every 10 `.npz` files are aggregated into a single `.tar` file, named sequentially as `i.tar` (e.g., `0001.tar`).
+
+## Usage
+To construct the dataset, use the provided scripts in the GitHub repository. The main script, `make_datasetall.py`, generates an index file for the dataset:
+```bash
+python make_datasetall.py 20200101 20200630