Fix minor typos in Docstrings (#6450)

* Fix typos

* Fix link

* pre-commit

* Update torchvision/datasets/food101.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

torchvision/datasets/food101.py

@@ -11,7 +11,7 @@ from .vision import VisionDataset
 class Food101(VisionDataset):
     """`The Food-101 Data Set <https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/>`_.
 
-    The Food-101 is a challenging data set of 101 food categories, with 101'000 images.
+    The Food-101 is a challenging data set of 101 food categories with 101,000 images.
     For each class, 250 manually reviewed test images are provided as well as 750 training images.
     On purpose, the training images were not cleaned, and thus still contain some amount of noise.
     This comes mostly in the form of intense colors and sometimes wrong labels. All images were

torchvision/datasets/ucf101.py

@@ -17,7 +17,7 @@ class UCF101(VisionDataset):
     by ``frames_per_clip``, where the step in frames between each clip is given by
     ``step_between_clips``. The dataset itself can be downloaded from the dataset website;
     annotations that ``annotation_path`` should be pointing to can be downloaded from `here
-    <https://www.crcv.ucf.edu/data/UCF101/UCF101TrainTestSplits-RecognitionTask.zip>`.
+    <https://www.crcv.ucf.edu/data/UCF101/UCF101TrainTestSplits-RecognitionTask.zip>`_.
 
     To give an example, for 2 videos with 10 and 15 frames respectively, if ``frames_per_clip=5``
     and ``step_between_clips=5``, the dataset size will be (2 + 3) = 5, where the first two