code: def download_ucf101_dataset(
      dataset_dir, scratch_dir=None, fold=1, cleanup=True
  ):
      """Downloads and extracts the UCF101 dataset.
  
      Any existing files are not re-downloaded.
  
      Args:
          dataset_dir: the directory to output the final dataset
          scratch_dir (None): a scratch directory to use to store temporary files
          fold (1): the test/train fold to use to arrange the files on disk. The
              supported values are ``(1, 2, 3)``
          cleanup (True): whether to cleanup the scratch directory after
              extraction
      """
      if scratch_dir is None:
          scratch_dir = os.path.join(dataset_dir, "scratch")
  
      if fold not in (1, 2, 3):
          raise ValueError("fold must be (1, 2, 3); found %s" % fold)
  
      # Download dataset
      videos_dir = _download_videos(scratch_dir)
      splits_dir = _download_splits(scratch_dir)
  
      # Reorganize files into splits
      logger.info(
          "Reorganizing videos into splits via fold %d...", fold
      )
  
      # Test split
      logger.info("Creating test split...")
      test_split_path = os.path.join(
          splits_dir, "testlist%02d.txt" % fold
      )
      test_filenames = _load_split_info(test_split_path)
      with fou.ProgressBar() as pb:
          for test_filename in pb(test_filenames):
              inpath = os.path.join(videos_dir, test_filename)
              outpath = os.path.join(dataset_dir, "test", test_filename)
              etau.move_file(inpath, outpath)
  
      # Train split
      logger.info("Creating train split...")
      train_split_path = os.path.join(
          splits_dir, "trainlist%02d.txt" % fold
      )
      train_filenames = _load_split_info(train_split_path)
      with fou.ProgressBar() as pb:
          for train_filename in pb(train_filenames):
              inpath = os.path.join(videos_dir, train_filename)
              outpath = os.path.join(
                  dataset_dir, "train", train_filename
              )
              etau.move_file(inpath, outpath)
  
      if cleanup:
          etau.delete_dir(scratch_dir)
  
file_path: fiftyone/fiftyone/utils/ucf101.py
imports: import logging
  import os
  import eta.core.utils
  import eta.core.web
  import fiftyone.core.utils
label_desc: Use image node_id 1 for calling a global function with example usage: download_ucf101_dataset(dataset_dir, scratch_dir, fold, cleanup) without return types