diff --git a/docs/en/datasets/classify/index.md b/docs/en/datasets/classify/index.md
index 700f4af3..e8876ce9 100644
--- a/docs/en/datasets/classify/index.md
+++ b/docs/en/datasets/classify/index.md
@@ -113,6 +113,7 @@ Ultralytics supports the following datasets with automatic download:
 - [Imagenette](imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing.
 - [Imagewoof](imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks.
 - [MNIST](mnist.md): A dataset of 70,000 grayscale images of handwritten digits for image classification tasks.
+- [MNIST160](mnist.md): First 8 images of each MNIST category from the MNIST dataset. Dataset contains 160 images total.
 
 ### Adding your own dataset
 
diff --git a/docs/en/datasets/index.md b/docs/en/datasets/index.md
index 0ca1f0a9..9d7a10ed 100644
--- a/docs/en/datasets/index.md
+++ b/docs/en/datasets/index.md
@@ -85,6 +85,7 @@ Pose estimation is a technique used to determine the pose of the object relative
 - [Imagenette](classify/imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing.
 - [Imagewoof](classify/imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks.
 - [MNIST](classify/mnist.md): A dataset of 70,000 grayscale images of handwritten digits for image classification tasks.
+- [MNIST160](classify/mnist.md): First 8 images of each MNIST category from the MNIST dataset. Dataset contains 160 images total.
 
 ## [Oriented Bounding Boxes (OBB)](obb/index.md)
 
diff --git a/docs/en/usage/python.md b/docs/en/usage/python.md
index af0546f4..6780e727 100644
--- a/docs/en/usage/python.md
+++ b/docs/en/usage/python.md
@@ -51,7 +51,7 @@ Train mode is used for training a YOLO11 model on a custom dataset. In this mode
 
 !!! example "Train"
 
-    === "From pretrained(recommended)"
+    === "From pretrained (recommended)"
 
         ```python
         from ultralytics import YOLO