class_docstr: Math Dataset.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      directory = dl_manager.download_and_extract(_DATA_URL)
      config = self.builder_config.name + ".txt"
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "directory": directory,
                  "config": config,
                  "categories": _TRAIN_CATEGORY,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "directory": directory,
                  "config": config,
                  "categories": _INTERPOLATE_CATEGORY,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/math_dataset/math_dataset_dataset_builder.py
imports: import os
  from absl import logging
  from etils import epath
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list