code: def __init__(self, recordings, supervisions, ranker, top_k):
      super().__init__()
  
      self.recordings = recordings
      self.supervisions = supervisions
      self.ranker = ranker
      self.top_k = top_k
  
imports: import argparse
  import os
  from copy import deepcopy
  from pathlib import Path
  import lhotse
  import soundfile
  import torch
  import torchaudio
  import tqdm
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 1 to create a new MicRanking object from inherited base classes: Dataset with example: obj = MicRanking(recordings, supervisions, ranker, top_k)