Update README.md

README.md

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-## Dataset Description
+## **Dataset Description**
 
-This dataset is designed for real-time "precise eye detection" under various conditions. It contains highly accurate bounding box annotations, manually retraced to ensure maximum precision.
+This COCO dataset is designed for real-time "precise eye detection" under various conditions. It contains highly accurate bounding box annotations, manually retraced to ensure maximum precision.
+
+
+## **Loading the Dataset with Hugging Face 🤗**
+This dataset is in COCO format and can be easily loaded using the <u>datasets library</u> distributed by HuggingFace.  
+
+**Important Note on Images**: The images are provided in a compressed <u>ZIP file</u> (**images.zip**). The load_dataset function will automatically handle the extraction for you. You do not need to extract them manually.  
+
+1. **Example Code**:  from datasets import load_dataset
+
+/# Load the dataset (automatically extracts images from the zip file)
+dataset = load_dataset("AndreaPorri/Eyes-Detection")
+
+/# You can now access the training split
+train_dataset = dataset['train']
+  
 
 ## **Key features**
 - 72,317 images of close-up eyes, people's faces, and real-life scenes.