code: def read_examples(filename, data_num, task):
      read_example_dict = {
          "summarize": read_summarize_examples,
          "refine": read_refine_examples,
          "translate": read_translate_examples,
          "concode": read_concode_examples,
          "clone": read_clone_examples,
          "defect": read_defect_examples,
      }
      return read_example_dict[task](filename, data_num)
  
file_path: codet5/CodeT5/utils.py
imports: from torch.utils.data import TensorDataset
  import numpy
  import logging
  import os
  import random
  import torch
  import time
  from tqdm import tqdm
  from _utils import *
label_desc: Use image node_id 6 for calling a global function with example usage: read_examples(filename, data_num, task) and returns: read_example_dict