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---
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)
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