Docs: fix docstring argument ordering in dataset module. (#8860)

Co-authored-by: Nicolas Hug <[email protected]>

Author: GdoongMathew

torchvision/datasets/mnist.py

@@ -25,13 +25,13 @@ class MNIST(VisionDataset):
             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.
+        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.
     """
 
     mirrors = [
@@ -209,13 +209,13 @@ class FashionMNIST(MNIST):
             and  ``FashionMNIST/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.
+        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.
     """
 
     mirrors = ["http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/"]
@@ -237,13 +237,13 @@ class KMNIST(MNIST):
             and  ``KMNIST/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.
+        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.
     """
 
     mirrors = ["http://codh.rois.ac.jp/kmnist/dataset/kmnist/"]
@@ -358,6 +358,9 @@ class QMNIST(MNIST):
             for each example is class number (for compatibility with
             the MNIST dataloader) or a torch vector containing the
             full qmnist information. Default=True.
+        train (bool,optional,compatibility): When argument 'what' is
+            not specified, this boolean decides whether to load the
+            training set or the testing set.  Default: True.
         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.
@@ -366,9 +369,6 @@ class QMNIST(MNIST):
             version. E.g, ``transforms.RandomCrop``
         target_transform (callable, optional): A function/transform
             that takes in the target and transforms it.
-        train (bool,optional,compatibility): When argument 'what' is
-            not specified, this boolean decides whether to load the
-            training set or the testing set.  Default: True.
     """
 
     subsets = {"train": "train", "test": "test", "test10k": "test", "test50k": "test", "nist": "nist"}

torchvision/datasets/moving_mnist.py

@@ -18,11 +18,11 @@ class MovingMNIST(VisionDataset):
         split_ratio (int, optional): The split ratio of number of frames. If ``split="train"``, the first split
             frames ``data[:, :split_ratio]`` is returned. If ``split="test"``, the last split frames ``data[:, split_ratio:]``
             is returned. If ``split=None``, this parameter is ignored and the all frames data is returned.
-        transform (callable, optional): A function/transform that takes in a torch Tensor
-            and returns a transformed version. E.g, ``transforms.RandomCrop``
         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 torch Tensor
+            and returns a transformed version. E.g, ``transforms.RandomCrop``
     """
 
     _URL = "http://www.cs.toronto.edu/~nitish/unsupervised_video/mnist_test_seq.npy"

torchvision/datasets/oxford_iiit_pet.py

@@ -27,6 +27,8 @@ class OxfordIIITPet(VisionDataset):
         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.
+        transforms (callable, optional): A function/transform that takes input sample
+            and its target as entry and returns a transformed version.
         download (bool, optional): If True, downloads the dataset from the internet and puts it into
             ``root/oxford-iiit-pet``. If dataset is already downloaded, it is not downloaded again.
     """