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: Get metadata for the n-th sample from the dataset. Returns filepath instead of waveform,
  but otherwise returns the same fields as :py:meth:`__getitem__`.
  
  Args:
      n (int): The index of the sample to be loaded
  
  Returns:
      Tuple of the following items;
  
      str:
          Path to audio
      int:
          Sample rate
      str:
          File name
      str:
          Label (one of ``"neu"``, ``"hap"``, ``"ang"``, ``"sad"``, ``"exc"``, ``"fru"``)
      str:
          Speaker
docstr_tok: ["Get","metadata","for","the","n-th","sample","from","the","dataset",".","Returns","filepath","instead","of","waveform",",","but","otherwise","returns","the","same","fields","as",":","py",":","meth",":","`","__getitem__","`",".","Args",":","n","(","int",")",":","The","index","of","the","sample","to","be","loaded","Returns",":","Tuple","of","the","following","items",";","str",":","Path","to","audio","int",":","Sample","rate","str",":","File","name","str",":","Label","(","one","of","``","``","neu","''","``",",","``","``","hap","''","``",",","``","``","ang","''","``",",","``","``","sad","''","``",",","``","``","exc","''","``",",","``","``","fru","''","``",")","str",":","Speaker"]
code: def get_metadata(self, n: int) -> Tuple[str, int, str, str, str]:
      """Get metadata for the n-th sample from the dataset. Returns filepath instead of waveform,
      but otherwise returns the same fields as :py:meth:`__getitem__`.
  
      Args:
          n (int): The index of the sample to be loaded
  
      Returns:
          Tuple of the following items;
  
          str:
              Path to audio
          int:
              Sample rate
          str:
              File name
          str:
              Label (one of ``"neu"``, ``"hap"``, ``"ang"``, ``"sad"``, ``"exc"``, ``"fru"``)
          str:
              Speaker
      """
      wav_stem = self.data[n]
      wav_path = self.mapping[wav_stem]["path"]
      label = self.mapping[wav_stem]["label"]
      speaker = wav_stem.split("_")[0]
      return (wav_path, _SAMPLE_RATE, wav_stem, label, speaker)
  
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 2 for calling the IEMOCAP obj's underlying member method code with example usage: obj.get_metadata(n) and returns: wav_path,  _SAMPLE_RATE,  wav_stem,  label,  speaker