code: def get_map_classid_to_classname(self):
      return dict(
          (c_id, c_n) for c_n, c_id in self.classname_to_classid.items()
      )
  
file_path: TTS/TTS/encoder/dataset.py
imports: import random
  import torch
  from torch.utils.data import Dataset
  from TTS.encoder.utils.generic_utils import AugmentWAV
label_desc: Use image node_id 8 for calling the EncoderDataset obj's underlying member method code with example usage: obj.get_map_classid_to_classname() and returns: dict