class_docstr: *IEMOCAP* :cite:`iemocap` dataset.
  
  Args:
      root (str or Path): Root directory where the dataset's top level directory is found
      sessions (Tuple[int]): Tuple of sessions (1-5) to use. (Default: ``(1, 2, 3, 4, 5)``)
      utterance_type (str or None, optional): Which type(s) of utterances to include in the dataset.
          Options: ("scripted", "improvised", ``None``). If ``None``, both scripted and improvised
          data are used.
docstr: Load the n-th sample from the dataset.
  
  Args:
      n (int): The index of the sample to be loaded
  
  Returns:
      Tuple of the following items;
  
      Tensor:
          Waveform
      int:
          Sample rate
      str:
          File name
      str:
          Label (one of ``"neu"``, ``"hap"``, ``"ang"``, ``"sad"``, ``"exc"``, ``"fru"``)
      str:
          Speaker
docstr_tok: ["Load","the","n-th","sample","from","the","dataset",".","Args",":","n","(","int",")",":","The","index","of","the","sample","to","be","loaded","Returns",":","Tuple","of","the","following","items",";","Tensor",":","Waveform","int",":","Sample","rate","str",":","File","name","str",":","Label","(","one","of","``","``","neu","''","``",",","``","``","hap","''","``",",","``","``","ang","''","``",",","``","``","sad","''","``",",","``","``","exc","''","``",",","``","``","fru","''","``",")","str",":","Speaker"]
code: def __getitem__(self, n: int) -> Tuple[Tensor, int, str, str, str]:
      """Load the n-th sample from the dataset.
  
      Args:
          n (int): The index of the sample to be loaded
  
      Returns:
          Tuple of the following items;
  
          Tensor:
              Waveform
          int:
              Sample rate
          str:
              File name
          str:
              Label (one of ``"neu"``, ``"hap"``, ``"ang"``, ``"sad"``, ``"exc"``, ``"fru"``)
          str:
              Speaker
      """
      metadata = self.get_metadata(n)
      waveform = _load_waveform(self._path, metadata[0], metadata[1])
      return (waveform,) + metadata[1:]
  
file_path: audio/src/torchaudio/datasets/iemocap.py
imports: import os
  import re
  from pathlib import Path
  from typing import Optional, Tuple, Union
  from torch import Tensor
  from torch.utils.data import Dataset
  from torchaudio.datasets.utils import _load_waveform
label_desc: Use image node_id 3 for calling the IEMOCAP obj's underlying member method code with example usage: obj.__getitem__(n) and returns: unknown