code: def get_label(self, index, process_fn=None):
      lbl = self.labels[index]
      lbl = self.text_compressor.decompress(lbl)
      return lbl if process_fn is None else process_fn(lbl)
  
file_path: fairseq/fairseq/data/add_class_target_dataset.py
imports: import torch
  from .None import BaseWrapperDataset, data_utils
  from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
label_desc: Use image node_id 2 for calling the AddTargetDataset obj's underlying member method code with example usage: obj.get_label(index, process_fn) and returns: unknown