Update README.md

README.md

@@ -51,6 +51,15 @@ Each data sample contains **6-view RGB camera captures, a 5D LiDAR point cloud,
 
 In most RGB images in the nuScenes dataset, as shown in the above figure - Left, the lighting conditions in night scenes are still abundant (e.g., with street lights), and we hence further reduce the brightness of RGB captures in night scenes by 80% and apply Gaussian blur with a radius of 7, as shown in the above figure - Right. By applying such preprocessing to the RGB views in night scenes, we obtain the training and validation splits of night scenes with 659 samples for each split. On the other hand, the RGB views in daytime scenes remain as the origin. The day split contains 2,229 for training and 2,229 for validation respectively.
 
+## How to Use
+
+```py
+from datasets import load_dataset
+
+# load train split in day scene
+day_train = load_dataset("KevinNotSmile/nuscenes-qa-mini", "day", split="train")
+```
+
 ## Citation
 If you find our dataset useful, please consider citing
 ```