class_docstr: Dmlab dataset.
code: def _split_generators(self, dl_manager):
      path = dl_manager.download_and_extract(_URL)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "images_dir_path": path,
                  "split_name": "train",
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "images_dir_path": path,
                  "split_name": "validation",
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "images_dir_path": path,
                  "split_name": "test",
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/image_classification/dmlab.py
imports: from __future__ import annotations
  import io
  import os
  from absl import logging
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Dmlab obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list