class_docstr: Recognizing Textual Entailment classification problems.
code: def dataset_splits(self):
      return [
          {
              "split": problem.DatasetSplit.TRAIN,
              "shards": 1,
          },
          {
              "split": problem.DatasetSplit.EVAL,
              "shards": 1,
          },
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import zipfile
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the RTE obj's underlying member method code with example usage: obj.dataset_splits() and returns: list