class_docstr: Subset of Libri-light :cite:`librilight` dataset,
  which was used in HuBERT :cite:`hsu2021hubert` for supervised fine-tuning.
  
  Args:
      root (str or Path): Path to the directory where the dataset is found or downloaded.
      subset (str, optional): The subset to use. Options: [``"10min"``, ``"1h"``, ``"10h"``]
          (Default: ``"10min"``).
      download (bool, optional):
          Whether to download the dataset if it is not found at root path. (default: ``False``).
class_docstr_tok: ["Subset","of","Libri-light",":","cite",":","`","librilight","`","dataset",",","which","was","used","in","HuBERT",":","cite",":","`","hsu2021hubert","`","for","supervised","fine-tuning",".","Args",":","root","(","str","or","Path",")",":","Path","to","the","directory","where","the","dataset","is","found","or","downloaded",".","subset","(","str",",","optional",")",":","The","subset","to","use",".","Options",":","[","``","``","10min","''","``",",","``","``","1h","''","``",",","``","``","10h","''","``","]","(","Default",":","``","``","10min","''","``",")",".","download","(","bool",",","optional",")",":","Whether","to","download","the","dataset","if","it","is","not","found","at","root","path",".","(","default",":","``","False","``",")","."]
code: def __len__(self) -> int:
      return len(self._fileids_paths)
  
file_path: audio/src/torchaudio/datasets/librilight_limited.py
imports: import os
  from pathlib import Path
  from typing import List, Tuple, Union
  import torchaudio
  from torch import Tensor
  from torch.utils.data import Dataset
  from torchaudio._internal import download_url_to_file
  from torchaudio.datasets.librispeech import _get_librispeech_metadata
  from torchaudio.datasets.utils import _extract_tar
label_desc: Use image node_id 3 for calling the LibriLightLimited obj's underlying member method code with example usage: obj.__len__() and returns: len