---
dataset_info:
  features:
  - name: Temperature
    dtype: float64
  - name: Humidity
    dtype: float64
  - name: Wind_Speed
    dtype: float64
  - name: Cloud_Cover
    dtype: float64
  - name: Pressure
    dtype: float64
  - name: Rain
    dtype: string
  splits:
  - name: train
    num_bytes: 126558
    num_examples: 2500
  download_size: 120963
  dataset_size: 126558
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# 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)