class_docstr: MovingMnist.
code: def _split_generators(self, dl_manager):
      data_path = dl_manager.download(_URL + "mnist_test_seq.npy")
  
      # authors only provide test data.
      # See `tfds.video.moving_mnist.image_as_moving_sequence` for mapping
      # function to create training/validation dataset from MNIST.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST, gen_kwargs=dict(data_path=data_path)
          ),
      ]
  
file_path: datasets/tensorflow_datasets/video/moving_mnist.py
imports: import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
  from tensorflow_datasets.video.moving_sequence import image_as_moving_sequence
label_desc: Use image node_id 2 for calling the MovingMnist obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list