class_docstr: Defines the GlyphAzznProblem class.
class_docstr_tok: ["Defines","the","GlyphAzznProblem","class","."]
docstr: Data splits to produce and number of shards for each.
docstr_tok: ["Data","splits","to","produce","and","number","of","shards","for","each","."]
code: def dataset_splits(self):
      """Data splits to produce and number of shards for each."""
      # 10% evaluation data
      return [
          {
              "split": problem.DatasetSplit.TRAIN,
              "shards": 90,
          },
          {
              "split": problem.DatasetSplit.TEST,
              "shards": 10,
          },
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import logging
  from magenta.models.svg_vae import svg_utils
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the GlyphAzznProblem obj's underlying member method code with example usage: obj.dataset_splits() and returns: list