Fixed typos

Author: anthony-cabacungan

torchvision/datasets/caltech.py

@@ -23,7 +23,7 @@ class Caltech101(VisionDataset):
             target types.  ``category`` represents the target class, and
             ``annotation`` is a list of points from a hand-generated outline.
             Defaults to ``category``.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.
@@ -151,7 +151,7 @@ class Caltech256(VisionDataset):
     Args:
         root (string): Root directory of dataset where directory
             ``caltech256`` exists or will be saved to if download is set to True.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.

torchvision/datasets/celeba.py

@@ -31,7 +31,7 @@ class CelebA(VisionDataset):
 
             Defaults to ``attr``. If empty, ``None`` will be returned as target.
 
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that takes in a PIL image
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.

torchvision/datasets/cifar.py

@@ -17,7 +17,7 @@ class CIFAR10(VisionDataset):
             ``cifar-10-batches-py`` exists or will be saved to if download is set to True.
         train (bool, optional): If True, creates dataset from training set, otherwise
             creates from test set.
-        transform (callable, optional): A function/transform that takes in an PIL image
+        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.

torchvision/datasets/clevr.py

@@ -18,7 +18,7 @@ class CLEVRClassification(VisionDataset):
         root (string): Root directory of dataset where directory ``root/clevr`` exists or will be saved to if download is
             set to True.
         split (string, optional): The dataset split, supports ``"train"`` (default), ``"val"``, or ``"test"``.
-        transform (callable, optional): A function/transform that takes in an PIL image and returns a transformed
+        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 them target and transforms it.
         download (bool, optional): If true, downloads the dataset from the internet and puts it in root directory. If

torchvision/datasets/coco.py

@@ -14,7 +14,7 @@ class CocoDetection(VisionDataset):
     Args:
         root (string): Root directory where images are downloaded to.
         annFile (string): Path to json annotation file.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that takes in a PIL image
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
@@ -65,7 +65,7 @@ class CocoCaptions(CocoDetection):
     Args:
         root (string): Root directory where images are downloaded to.
         annFile (string): Path to json annotation file.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        transform (callable, optional): A function/transform that  takes in a PIL image
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.

torchvision/datasets/country211.py

@@ -16,7 +16,7 @@ class Country211(ImageFolder):
     Args:
         root (string): Root directory of the dataset.
         split (string, optional): The dataset split, supports ``"train"`` (default), ``"valid"`` and ``"test"``.
-        transform (callable, optional): A function/transform that  takes in an PIL image and returns a transformed
+        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 into

torchvision/datasets/dtd.py

@@ -21,7 +21,7 @@ class DTD(VisionDataset):
                 The partition only changes which split each image belongs to. Thus, regardless of the selected
                 partition, combining all splits will result in all images.
 
-        transform (callable, optional): A function/transform that  takes in a PIL image and returns a transformed
+        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

torchvision/datasets/eurosat.py

@@ -10,7 +10,7 @@ class EuroSAT(ImageFolder):
 
     Args:
         root (string): Root directory of dataset where ``root/eurosat`` exists.
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/fakedata.py

@@ -13,7 +13,7 @@ class FakeData(VisionDataset):
         size (int, optional): Size of the dataset. Default: 1000 images
         image_size(tuple, optional): Size if the returned images. Default: (3, 224, 224)
         num_classes(int, optional): Number of classes in the dataset. Default: 10
-        transform (callable, optional): A function/transform that  takes in an PIL image
+        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.

torchvision/datasets/fer2013.py

@@ -17,7 +17,7 @@ class FER2013(VisionDataset):
         root (string): Root directory of dataset where directory
             ``root/fer2013`` exists.
         split (string, optional): The dataset split, supports ``"train"`` (default), or ``"test"``.
-        transform (callable, optional): A function/transform that takes in an PIL image and returns a transformed
+        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.
     """