code: def main(argv):
      del argv
      mnist, info = tfds.load("mnist", with_info=True)
      print(mnist, info)
      mnist_train = tfds.load("mnist", split="train")
      print(mnist_train)
      mnist_subsplit = tfds.Split.TRAIN.subsplit(
          tfds.percent[:10]
      )  # pytype: disable=module-attr
      mnist_train2 = tfds.load("mnist", split=mnist_subsplit)
      print(mnist_train2)
      for i, unused_row in enumerate(mnist_train2):
          if i > 10:
              break
          print(i)
      builder = tfds.builder("cifar10")
      dataset = builder.as_dataset(split="train")
      print(dataset)
      cifar10_np = tfds.as_numpy(dataset)
      print(cifar10_np)
  
label_desc: Use image node_id 1 for calling a global function with example usage: main(argv) without return types