📚 The doc issue

The doc of MNIST() shows download parameter at the end as shown below:

class torchvision.datasets.MNIST(root: Union[str, Path], train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

But download parameter is explained in the middle as shown below:

Parameters:

• root (str or pathlib.Path) – Root directory of dataset where MNIST/raw/train-images-idx3-ubyte and MNIST/raw/t10k-images-idx3-ubyte exist.
• train (bool, optional) – If True, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.
• download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
• transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop
• target_transform (callable, optional) – A function/transform that takes in the target and transforms it.

Suggest a potential alternative/fix

So, download parameter should be explained at the end as shown below:

Parameters:

• root (str or pathlib.Path) – Root directory of dataset where MNIST/raw/train-images-idx3-ubyte and MNIST/raw/t10k-images-idx3-ubyte exist.
• train (bool, optional) – If True, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.
• transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop
• target_transform (callable, optional) – A function/transform that takes in the target and transforms it.
• download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.