class_docstr: *Snips* :cite:`coucke2018snips` dataset.
  
  Args:
      root (str or Path): Root directory where the dataset's top level directory is found.
      subset (str): Subset of the dataset to use. Options: [``"train"``, ``"valid"``, ``"test"``].
      speakers (List[str] or None, optional): The speaker list to include in the dataset. If ``None``,
          include all speakers in the subset. (Default: ``None``)
      audio_format (str, optional): The extension of the audios. Options: [``"mp3"``, ``"wav"``].
          (Default: ``"mp3"``)
class_docstr_tok: ["*","Snips","*",":","cite",":","`","coucke2018snips","`","dataset",".","Args",":","root","(","str","or","Path",")",":","Root","directory","where","the","dataset","'s","top","level","directory","is","found",".","subset","(","str",")",":","Subset","of","the","dataset","to","use",".","Options",":","[","``","``","train","''","``",",","``","``","valid","''","``",",","``","``","test","''","``","]",".","speakers","(","List","[","str","]","or","None",",","optional",")",":","The","speaker","list","to","include","in","the","dataset",".","If","``","None","``",",","include","all","speakers","in","the","subset",".","(","Default",":","``","None","``",")","audio_format","(","str",",","optional",")",":","The","extension","of","the","audios",".","Options",":","[","``","``","mp3","''","``",",","``","``","wav","''","``","]",".","(","Default",":","``","``","mp3","''","``",")"]
code: def __len__(self) -> int:
      return len(self.data)
  
file_path: audio/src/torchaudio/datasets/snips.py
imports: import os
  from pathlib import Path
  from typing import List, Optional, Tuple, Union
  import torch
  from torch.utils.data import Dataset
  from torchaudio.datasets.utils import _load_waveform
label_desc: Use image node_id 4 for calling the Snips obj's underlying member method code with example usage: obj.__len__() and returns: len