code: def split_dict(self):
      si = [
          tfds.core.SplitInfo(
              name="train",
              shard_lengths=[10, 10],
              num_bytes=0,
              filename_template=_filename_template("train"),
          ),
          tfds.core.SplitInfo(
              name="test",
              shard_lengths=[1],
              num_bytes=0,
              filename_template=_filename_template("test"),
          ),
      ]
      sd = splits.SplitDict(si)
      return sd
  
imports: from tensorflow_datasets import testing
  from tensorflow_datasets.core import naming
  from tensorflow_datasets.core import proto
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core.utils import shard_utils
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the SplitDictTest obj's underlying member method code with example usage: obj.split_dict() and returns: sd