diff --git a/docs/en/tasks/obb.md b/docs/en/tasks/obb.md
index 7554dc2b..35e659ed 100644
--- a/docs/en/tasks/obb.md
+++ b/docs/en/tasks/obb.md
@@ -49,7 +49,7 @@ YOLO11 pretrained OBB models are shown here, which are pretrained on the [DOTAv1
 
 ## Train
 
-Train YOLO11n-obb on the `dota8.yaml` dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
+Train YOLO11n-obb on the DOTA8 dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
 
 !!! example
 
diff --git a/docs/en/tasks/pose.md b/docs/en/tasks/pose.md
index 5fa56602..0523239f 100644
--- a/docs/en/tasks/pose.md
+++ b/docs/en/tasks/pose.md
@@ -73,7 +73,7 @@ YOLO11 pretrained Pose models are shown here. Detect, Segment and Pose models ar
 
 ## Train
 
-Train a YOLO11-pose model on the COCO128-pose dataset.
+Train a YOLO11-pose model on the COCO8-pose dataset.
 
 !!! example
 
@@ -110,7 +110,7 @@ YOLO pose dataset format can be found in detail in the [Dataset Guide](../datase
 
 ## Val
 
-Validate trained YOLO11n-pose model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO128-pose dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
+Validate trained YOLO11n-pose model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO8-pose dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example
 
diff --git a/docs/en/tasks/segment.md b/docs/en/tasks/segment.md
index e6ad5add..c422c6fd 100644
--- a/docs/en/tasks/segment.md
+++ b/docs/en/tasks/segment.md
@@ -41,7 +41,7 @@ YOLO11 pretrained Segment models are shown here. Detect, Segment and Pose models
 
 ## Train
 
-Train YOLO11n-seg on the COCO128-seg dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
+Train YOLO11n-seg on the COCO8-seg dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
 
 !!! example
 
@@ -78,7 +78,7 @@ YOLO segmentation dataset format can be found in detail in the [Dataset Guide](.
 
 ## Val
 
-Validate trained YOLO11n-seg model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO128-seg dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
+Validate trained YOLO11n-seg model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO8-seg dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example