Add FAQs to Docs Datasets and Help sections (#14211)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/models/yolo-world.md

@@ -86,6 +86,7 @@ Object detection is straightforward with the `train` method, as illustrated belo
 !!! Example
 
     === "Python"
+
         PyTorch pretrained `*.pt` models as well as configuration `*.yaml` files can be passed to the `YOLOWorld()` class to create a model instance in python:
 
         ```python

docs/en/models/yolov5.md

@@ -139,24 +139,24 @@ You can train a YOLOv5u model by loading a pre-trained model and running the tra
 
     === "Python"
 
-    ```python
-    from ultralytics import YOLO
+        ```python
+        from ultralytics import YOLO
 
-    # Load a COCO-pretrained YOLOv5n model
-    model = YOLO("yolov5n.pt")
+        # Load a COCO-pretrained YOLOv5n model
+        model = YOLO("yolov5n.pt")
 
-    # Display model information (optional)
-    model.info()
+        # Display model information (optional)
+        model.info()
 
-    # Train the model on the COCO8 example dataset for 100 epochs
-    results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
-    ```
+        # Train the model on the COCO8 example dataset for 100 epochs
+        results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
+        ```
 
     === "CLI"
 
-    ```bash
-    # Load a COCO-pretrained YOLOv5n model and train it on the COCO8 example dataset for 100 epochs
-    yolo train model=yolov5n.pt data=coco8.yaml epochs=100 imgsz=640
-    ```
+        ```bash
+        # Load a COCO-pretrained YOLOv5n model and train it on the COCO8 example dataset for 100 epochs
+        yolo train model=yolov5n.pt data=coco8.yaml epochs=100 imgsz=640
+        ```
 
 For more detailed instructions, visit the [Usage Examples](#usage-examples) section.