Update README.md

README.md

@@ -63,6 +63,23 @@ size_categories:
 [DeepLesion](https://nihcc.app.box.com/v/DeepLesion) dataset contains 32,735 diverse lesions in 32,120 CT slices from 10,594 studies of 4,427 unique patients. Each lesion has a bounding box annotation on the key slice, which is derived from the longest diameter and longest
 perpendicular diameter. We annotated 5000 lesions with [MedSAM2](https://github.com/bowang-lab/MedSAM2) in a human-in-the-loop pipeline. 
 
+```py
+# Install required package
+pip install datasets
+
+# Load the dataset
+from datasets import load_dataset
+
+# Download and load the dataset
+dataset = load_dataset("wanglab/CT_DeepLesion-MedSAM2")
+
+# Access the train split
+train_dataset = dataset["train"]
+
+# Display the first example
+print(train_dataset[0])
+```
+
 Please cite both DeepLesion and MedSAM2 when using this dataset. 
 
 ```bash