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Docs partial mdformat improvements (#7378)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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docs/en/datasets/classify/index.md
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@ -104,16 +104,16 @@ In this example, the `train` directory contains subdirectories for each class in
Ultralytics supports the following datasets with automatic download:
* [Caltech 101](caltech101.md): A dataset containing images of 101 object categories for image classification tasks.
* [Caltech 256](caltech256.md): An extended version of Caltech 101 with 256 object categories and more challenging images.
* [CIFAR-10](cifar10.md): A dataset of 60K 32x32 color images in 10 classes, with 6K images per class.
* [CIFAR-100](cifar100.md): An extended version of CIFAR-10 with 100 object categories and 600 images per class.
* [Fashion-MNIST](fashion-mnist.md): A dataset consisting of 70,000 grayscale images of 10 fashion categories for image classification tasks.
* [ImageNet](imagenet.md): A large-scale dataset for object detection and image classification with over 14 million images and 20,000 categories.
* [ImageNet-10](imagenet10.md): A smaller subset of ImageNet with 10 categories for faster experimentation and testing.
* [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.
- [Caltech 101](caltech101.md): A dataset containing images of 101 object categories for image classification tasks.
- [Caltech 256](caltech256.md): An extended version of Caltech 101 with 256 object categories and more challenging images.
- [CIFAR-10](cifar10.md): A dataset of 60K 32x32 color images in 10 classes, with 6K images per class.
- [CIFAR-100](cifar100.md): An extended version of CIFAR-10 with 100 object categories and 600 images per class.
- [Fashion-MNIST](fashion-mnist.md): A dataset consisting of 70,000 grayscale images of 10 fashion categories for image classification tasks.
- [ImageNet](imagenet.md): A large-scale dataset for object detection and image classification with over 14 million images and 20,000 categories.
- [ImageNet-10](imagenet10.md): A smaller subset of ImageNet with 10 categories for faster experimentation and testing.
- [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.
### Adding your own dataset