code: def get_word_index(path="reuters_word_index.json"):
      """Retrieves a dict mapping words to their index in the Reuters dataset.
  
      Actual word indices starts from 3, with 3 indices reserved for:
      0 (padding), 1 (start), 2 (oov).
  
      E.g. word index of 'the' is 1, but the in the actual training data, the
      index of 'the' will be 1 + 3 = 4. Vice versa, to translate word indices in
      training data back to words using this mapping, indices need to substract 3.
  
      Args:
          path: where to cache the data (relative to `~/.keras/dataset`).
  
      Returns:
          The word index dictionary. Keys are word strings, values are their
          index.
      """
      origin_folder = (
          "https://storage.googleapis.com/tensorflow/tf-keras-datasets/"
      )
      path = get_file(
          path,
          origin=origin_folder + "reuters_word_index.json",
          file_hash="4d44cc38712099c9e383dc6e5f11a921",
      )
      with open(path) as f:
          return json.load(f)
  
file_path: keras/keras/datasets/reuters.py
imports: import json
  import numpy
  from keras.api_export import keras_export
  from keras.utils.file_utils import get_file
  from keras.utils.python_utils import remove_long_seq
label_desc: Use image node_id 2 for calling a global function with example usage: get_word_index(path) and returns: json