[fbsync] Fix minor typos in Docstrings (#6450)

Summary:
* Fix typos

* Fix link

* pre-commit

* Update torchvision/datasets/food101.py

Reviewed By: datumbox

Differential Revision: D39013672

fbshipit-source-id: f9a6992f8f77b68f73cc48ef2fc4781ad8f6cb37

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

Author: NicolasHug

torchvision/datasets/food101.py

@@ -11,7 +11,7 @@
 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