update urls for kinetics dataset (#5578)

* update urls for kinetics dataset

* update urls for kinetics dataset

* remove errors

* update the changes and add test option to split

* added test to valid values for split arg

* change .txt to .csv for annotation url of k600
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

torchvision/datasets/kinetics.py

 import csv
 import os
 import time
+import urllib
 import warnings
 from functools import partial
 from multiprocessing import Pool
@@ -53,7 +54,7 @@ class Kinetics(VisionDataset):
             Note: split is appended automatically using the split argument.
         frames_per_clip (int): number of frames in a clip
         num_classes (int): select between Kinetics-400 (default), Kinetics-600, and Kinetics-700
-        split (str): split of the dataset to consider; supports ``"train"`` (default) ``"val"``
+        split (str): split of the dataset to consider; supports ``"train"`` (default) ``"val"`` ``"test"``
         frame_rate (float): If omitted, interpolate different frame rate for each clip.
         step_between_clips (int): number of frames between each clip
         transform (callable, optional): A function/transform that  takes in a TxHxWxC video
@@ -81,7 +82,7 @@ class Kinetics(VisionDataset):
     }
     _ANNOTATION_URLS = {
         "400": "https://s3.amazonaws.com/kinetics/400/annotations/{split}.csv",
-        "600": "https://s3.amazonaws.com/kinetics/600/annotations/{split}.txt",
+        "600": "https://s3.amazonaws.com/kinetics/600/annotations/{split}.csv",
         "700": "https://s3.amazonaws.com/kinetics/700_2020/annotations/{split}.csv",
     }
 
@@ -122,7 +123,7 @@ class Kinetics(VisionDataset):
                 raise ValueError("Cannot download the videos using legacy_structure.")
         else:
             self.split_folder = path.join(root, split)
-            self.split = verify_str_arg(split, arg="split", valid_values=["train", "val"])
+            self.split = verify_str_arg(split, arg="split", valid_values=["train", "val", "test"])
 
         if download:
             self.download_and_process_videos()
@@ -177,17 +178,16 @@ class Kinetics(VisionDataset):
         split_url_filepath = path.join(file_list_path, path.basename(split_url))
         if not check_integrity(split_url_filepath):
             download_url(split_url, file_list_path)
-        list_video_urls = open(split_url_filepath)
+        with open(split_url_filepath) as file:
+            list_video_urls = [urllib.parse.quote(line, safe="/,:") for line in file.read().splitlines()]
 
         if self.num_download_workers == 1:
-            for line in list_video_urls.readlines():
-                line = str(line).replace("\n", "")
+            for line in list_video_urls:
                 download_and_extract_archive(line, tar_path, self.split_folder)
         else:
             part = partial(_dl_wrap, tar_path, self.split_folder)
-            lines = [str(line).replace("\n", "") for line in list_video_urls.readlines()]
             poolproc = Pool(self.num_download_workers)
-            poolproc.map(part, lines)
+            poolproc.map(part, list_video_urls)
 
     def _make_ds_structure(self) -> None:
         """move videos from