code: def __getitem__(
      self, index: int
  ) -> Tuple[SpeechToSpeechDatasetItem, Dict[str, torch.Tensor]]:
      s2s_data = super().__getitem__(index)
  
      multitask_target = {}
      sample_id = self.ids[index]
      tgt_lang = self.tgt_langs[index]
      for task_name, task_dataset in self.multitask_data.items():
          multitask_target[task_name] = task_dataset.get(
              sample_id, tgt_lang
          )
  
      return s2s_data, multitask_target
  
imports: import logging
  from dataclasses import dataclass
  from pathlib import Path
  from typing import Dict, List, Optional, Tuple
  import torch
  from fairseq.data import ConcatDataset, Dictionary
  from fairseq.data import data_utils
  from fairseq.data.audio.audio_utils import get_features_or_waveform
  from fairseq.data.audio.data_cfg import S2SDataConfig
  from fairseq.data.audio.speech_to_text_dataset import SpeechToTextDataset, SpeechToTextDatasetCreator, TextTargetMultitaskData, _collate_frames
label_desc: Use image node_id 3 for calling the SpeechToSpeechMultitaskDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: s2s_data,  multitask_target