dataset example links

site/content/en/docs/manual/advanced/formats/format-yolo.md

@@ -15,7 +15,7 @@ For more information, see:
 
 - [YOLO Specification](https://pjreddie.com/darknet/yolo/)
 - [Format specification](https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects)
-- [Dataset examples](https://github.com/cvat-ai/datumaro/tree/v0.3/tests/assets/yolo_dataset/yolo)
+- [Dataset examples](https://github.com/cvat-ai/datumaro/tree/v0.3/tests/assets/yolo_dataset)
 
 ## YOLO export
 

site/content/en/docs/manual/advanced/formats/format-yolov8.md

@@ -11,6 +11,13 @@ YOLOv8 is a format family which consists of four formats:
 - [Segmentation](https://docs.ultralytics.com/datasets/segment/)
 - [Pose](https://docs.ultralytics.com/datasets/pose/)
 
+Dataset examples:
+- [Detection](https://github.com/cvat-ai/datumaro/tree/develop/tests/assets/yolo_dataset/yolov8_detection)
+- [Oriented Bounding Boxes](https://github.com/cvat-ai/datumaro/tree/develop/tests/assets/yolo_dataset/yolov8_oriented_boxes)
+- [Segmentation](https://github.com/cvat-ai/datumaro/tree/develop/tests/assets/yolo_dataset/yolov8_segmentation)
+- [Pose](https://github.com/cvat-ai/datumaro/tree/develop/tests/assets/yolo_dataset/yolov8_pose)
+
+
 ## YOLOv8 export
 
 For export of images: