code: def create_data_dict(data):
      """
      Function to convert data to dictionary format
  
      Args:
      -----------
      data: train/dev data as a list
  
      Returns:
      --------
      a dictionary containing dev/train data
      """
  
      train = {}
      train["para"] = []
      train["answer"] = []
      train["question"] = []
      train["question_len"] = []
      train["para_len"] = []
      train["para_mask"] = []
      train["question_mask"] = []
  
      for (
          para_idx,
          question_idx,
          para_len,
          question_len,
          answer,
          para_mask,
          ques_mask,
      ) in data:
          train["para"].append(para_idx)
          train["question"].append(question_idx)
          train["para_len"].append(para_len)
          train["question_len"].append(question_len)
          train["answer"].append(answer)
          train["para_mask"].append(para_mask)
          train["question_mask"].append(ques_mask)
  
      return train
  
imports: import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: create_data_dict(data) and returns: train