class_docstr: LabeledVideoPaths contains pairs of video path and integer index label.
class_docstr_tok: ["LabeledVideoPaths","contains","pairs","of","video","path","and","integer","index","label","."]
docstr: Args:
      index (int): the path and label index.
  
  Returns:
      The path and label tuple for the given index.
docstr_tok: ["Args",":","index","(","int",")",":","the","path","and","label","index",".","Returns",":","The","path","and","label","tuple","for","the","given","index","."]
code: def __getitem__(self, index: int) -> Tuple[str, int]:
      """
      Args:
          index (int): the path and label index.
  
      Returns:
          The path and label tuple for the given index.
      """
      path, label = self._paths_and_labels[index]
      return (os.path.join(self._path_prefix, path), {"label": label})
  
file_path: pytorchvideo/pytorchvideo/data/labeled_video_paths.py
imports: from __future__ import annotations
  import os
  import pathlib
  from typing import List, Optional, Tuple
  from iopath.common.file_io import g_pathmgr
  from torchvision.datasets.folder import make_dataset
label_desc: Use image node_id 6 for calling the LabeledVideoPaths obj's underlying member method code with example usage: obj.__getitem__(index) and returns: os,  dict