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/integrations/mlflow.md

@@ -37,6 +37,7 @@ Make sure that MLflow logging is enabled in Ultralytics settings. Usually, this
 !!! Example "Update Ultralytics MLflow Settings"
 
     === "Python"
+
         Within the Python environment, call the `update` method on the `settings` object to change your settings:
         ```python
         from ultralytics import settings
@@ -49,6 +50,7 @@ Make sure that MLflow logging is enabled in Ultralytics settings. Usually, this
         ```
 
     === "CLI"
+
         If you prefer using the command-line interface, the following commands will allow you to modify your settings:
         ```bash
         # Update a setting

docs/en/integrations/openvino.md

@@ -46,6 +46,7 @@ Export a YOLOv8n model to OpenVINO format and run inference with the exported mo
         # Run inference
         results = ov_model("https://ultralytics.com/images/bus.jpg")
         ```
+
     === "CLI"
 
         ```bash
@@ -264,6 +265,7 @@ To reproduce the Ultralytics benchmarks above on all export [formats](../modes/e
         # Benchmark YOLOv8n speed and accuracy on the COCO8 dataset for all all export formats
         results = model.benchmarks(data="coco8.yaml")
         ```
+
     === "CLI"
 
         ```bash

docs/en/integrations/weights-biases.md

@@ -62,6 +62,7 @@ Before diving into the usage instructions for YOLOv8 model training with Weights
 !!! Example "Usage: Training YOLOv8 with Weights & Biases"
 
     === "Python"
+
        ```python
        import wandb
        from wandb.integration.ultralytics import add_wandb_callback