Update README.md

README.md

@@ -13,7 +13,7 @@ size_categories:
 
 # Overview
 
-This is the public synthetic test set for controllable shadow generation created by Jasper Research Team. It has 3 tracks: softness control, horizontal direction control and vertical direction control. 
+This is the public synthetic test set for controllable shadow generation created by Jasper Research Team. We created this dataset using [Blender](https://www.blender.org/). It has 3 tracks: softness control, horizontal direction control and vertical direction control. 
 
 Example renders from the dataset below: 
 
@@ -25,3 +25,34 @@ Horizontal direction control:
 
 Vertical direction control:
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6368c710e68400b192fffb9d/UnkTWbftwMlTdoECQRWsW.jpeg)
+
+# Usage 
+The dataset is formatted to be used with [WebDataset](https://huggingface.co/docs/hub/datasets-webdataset).
+
+```python
+import matplotlib.pyplot as plt 
+import webdataset as wds
+
+# Create a data iterator
+url = f"pipe:curl -s -L https://huggingface.co/datasets/jasperai/controllable-shadow-generation-benchmark/blob/main/controllable-shadow-generation-benchmark.tar"
+data_iter = iter(wds.WebDataset(url))
+
+# Sample from the dataset 
+data = next(data_iter)
+
+# Visualize the image, object mask, and object shadow 
+_, axs = plt.subplots(1, 3, figsize=(15, 5))
+axs[0].imshow(data['image.png'])
+axs[0].set_title('Image')
+axs[1].imshow(data['mask.png'])
+axs[1].set_title('Mask')
+axs[2].imshow(data['shadow.png'])
+axs[2].set_title('Shadow')
+
+# Print the metadata
+print(data['metadata.json'])
+
+```
+
+
+