class_docstr: Lambada as language modeling task.
class_docstr_tok: ["Lambada","as","language","modeling","task","."]
docstr: Splits of data to produce and number of output shards for each.
  
  Returns:
    A dict containing splits information.
code: def dataset_splits(self):
      """Splits of data to produce and number of output shards for each.
  
      Returns:
        A dict containing splits information.
      """
      return [
          {
              "split": problem.DatasetSplit.TRAIN,
              "shards": 10,
          },
          {
              "split": problem.DatasetSplit.EVAL,
              "shards": 1,
          },
          {
              "split": problem.DatasetSplit.TEST,
              "shards": 1,
          },
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import csv
  import os
  import tarfile
  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.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the LambadaLm obj's underlying member method code with example usage: obj.dataset_splits() and returns: list