code: def __getitem__(self, index):
      sample = self.data[index]
      rel_audio_path = (
          Path(sample["audio_filepath"])
          .relative_to(self.base_data_dir)
          .with_suffix("")
      )
      rel_audio_path_as_text_id = str(rel_audio_path).replace("/", "_")
      speaker = torch.tensor(sample["speaker"]).long()
  
      audio, audio_length = self._get_wav_from_filepath(
          sample["audio_filepath"]
      )
  
      return {
          "audio": audio,
          "audio_len": audio_length,
          "rel_audio_path_as_text_id": rel_audio_path_as_text_id,
          "wav_path": sample["audio_filepath"],
          "speaker": speaker,
      }
  
imports: import argparse
  import json
  import os
  import time
  from multiprocessing import Pool
  from pathlib import Path
  import hydra.utils
  import librosa
  import numpy
  import torch
  from omegaconf import open_dict
  from tqdm import tqdm
  from nemo.collections.asr.parts.preprocessing.segment import AudioSegment
  from nemo.collections.tts.models import ssl_tts
  from nemo.collections.tts.parts.utils.tts_dataset_utils import get_base_dir
  from nemo.core.classes import Dataset
  from nemo.utils import logging
label_desc: Use image node_id 5 for calling the AudioDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict