code: def __getitem__(self, index):
      if index >= self.n_samples:
          raise IndexError()
      np.random.seed(index)
      length = np.random.randint(5, 250)
      content = np.random.randint(0, 256, size=(length,))
      json_content = {}
      for i in range(3):
          json_content[
              generate_random_string(5, 10)
          ] = generate_random_string(50, 250)
      return index, json_content
  
imports: import string
  from ctypes import pointer
  from tempfile import NamedTemporaryFile
  from collections import defaultdict
  from multiprocessing import cpu_count
  from assertpy import assert_that
  import numpy
  from torch.utils.data import Dataset
  from ffcv import DatasetWriter
  from ffcv.fields import IntField, JSONField
  from ffcv.fields.bytes import BytesDecoder
  from ffcv.fields.basics import IntDecoder
  from ffcv import Loader
label_desc: Use image node_id 3 for calling the DummyDictDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: index,  json_content