update README.md

README.md

@@ -55,7 +55,7 @@ The D-FINE family includes five model sizes trained on the [L&A Pucks Dataset](h
 | Extra Large  | 62.7M      | 0.803           | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-xlarge"><img src="https://img.shields.io/badge/HuggingFace-Model-yellow?logo=huggingface&style=for-the-badge"></a> | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-xlarge/resolve/main/model.onnx"><img src="https://img.shields.io/badge/-ONNX-005CED?style=for-the-badge&logo=onnx&logoColor=white"></a> | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-xlarge/resolve/main/pytorch_model.bin"><img src="https://img.shields.io/badge/PyTorch-EE4C2C?style=for-the-badge&logo=pytorch&logoColor=white"></a> |
 
 
-> mAP values are evaluated on the validation set of the L&A Pucks dataset.
+> mAP values are evaluated on the validation set of the [L&A Pucks Dataset](https://huggingface.co/datasets/Laudando-Associates-LLC/pucks).
 
 ## Installation
 
@@ -65,7 +65,7 @@ pip install -r requirements.txt
 
 > Tip: Use a virtual environment (venv or conda) to avoid dependency conflicts.
 
-## Quick start on Pucks Dataset
+## Quick start on [L&A Pucks Dataset](https://huggingface.co/datasets/Laudando-Associates-LLC/pucks)
 
 ```python
 from datasets import load_dataset