code: def make_imagenet_dataframe(path_to_imagenet_classes):
      urls_dataframe = pd.read_csv(path_to_imagenet_classes)
      urls_dataframe["url"] = kImagenetBaseUrl + urls_dataframe["synid"]
      return urls_dataframe
  
file_path: tcav/tcav/tcav_examples/image_models/imagenet/imagenet_and_broden_fetcher.py
imports: import pandas
  import urllib.request
  import os
  import shutil
  import PIL
  from PIL import Image
  import tensorflow
  import socket
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: make_imagenet_dataframe(path_to_imagenet_classes) and returns: urls_dataframe