code: def label_name_to_description(
      self, label: str, detailed: bool = False
  ) -> str:
      if detailed:
          description = (
              f"{self._lemmas[label]}: {self._definitions[label]}"
          )
      else:
          description = f"{self._lemmas[label]}"
      return description
  
file_path: pytorch-image-models/timm/data/imagenet_info.py
imports: import csv
  import os
  import pkgutil
  import re
  from typing import Dict, List, Optional, Union
  from .dataset_info import DatasetInfo
label_desc: Use image node_id 7 for calling the ImageNetInfo obj's underlying member method code with example usage: obj.label_name_to_description(label, detailed) and returns: description