Update README.md

added the dataset description

README.md

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   - split: train
     path: data/train-*
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+
+# Weather Forecast Dataset  
+
+## Description  
+This dataset contains weather-related data collected for forecasting purposes. It includes various meteorological parameters that can be used for **climate analysis, weather prediction models,** and **machine learning applications** in forecasting.  
+
+## Dataset Details  
+
+### **Columns:**  
+- **Temperature**: Measured in degrees Celsius.  
+- **Humidity**: Percentage of atmospheric humidity.  
+- **Wind_Speed**: Speed of wind in meters per second.  
+- **Cloud_Cover**: Percentage of sky covered by clouds.  
+- **Pressure**: Atmospheric pressure in **hPa (hectopascal)**.  
+- **Rain**: Categorical label indicating whether it **rained (rain) or not (no rain)**.  
+
+### **Notes:**  
+- The dataset contains **2,500 entries**.  
+- The **Rain** column is categorical, making it useful for **classification models**.  
+- This dataset can be used for **time-series analysis** and **supervised learning tasks**.  
+
+## Use Cases  
+- **Predicting rainfall** using meteorological data.  
+- **Weather forecasting** using machine learning models.  
+- **Studying correlations** between **temperature, humidity, and pressure**.  
+
+## How to Use  
+You can load the dataset using the `datasets` library:  
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Tarakeshwaran/Hackathon_Weather_Forcast")
+print(dataset)