code: def get_dataset(nrows=None):
      download_data()
      data = []
      files = os.listdir(DATA_PATH)
      for file in files:
          if not file.startswith("."):
              data.extend(parse_file(os.path.join(DATA_PATH, file)))
      random.shuffle(data)
      return data[:nrows]
  
file_path: finetune/finetune/datasets/multi_choice_qna.py
imports: import json
  import os
  import codecs
  import random
  import requests
  from pathlib import Path
  import finetune
  from finetune import MultipleChoice
  from sklearn.model_selection import train_test_split
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: get_dataset(nrows) and returns: data