code: def sample_dicts_generator():
      """
      This is a sample dicts generator. Some exemplary use cases:
  
      * read chunks of text from large files iteratively and generate inference predictions
      * connect with external datasources, eg, a Elasticsearch Scroll API that reads all documents from a given index
      * building a streaming microservice that reads from Kafka
  
      :return: a generator that yield dicts
      :rtype: iter
      """
      qa_input = {
          "questions": [
              "Who counted the game among the best ever made?"
          ],
          "text": "Twilight Princess was released to universal critical acclaim and commercial success. "
          "It received perfect scores from major publications such as 1UP.com, Computer and Video Games, "
          "Electronic Gaming Monthly, Game Informer, GamesRadar, and GameSpy. On the review aggregators "
          "GameRankings and Metacritic, Twilight Princess has average scores of 95% and 95 for the Wii "
          "version and scores of 95% and 96 for the GameCube version. GameTrailers in their review called "
          "it one of the greatest games ever created.",
      }
  
      for i in range(100000):
          yield qa_input
  
label_desc: Use image node_id 2 for calling a global function with example usage: sample_dicts_generator() without return types