class_docstr: DIV2K dataset: DIVerse 2K resolution high quality images.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      print("EXTRACTING", self.builder_config.download_urls)
      extracted_paths = dl_manager.download_and_extract(
          self.builder_config.download_urls
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "lr_path": extracted_paths["train_lr_url"],
                  "hr_path": os.path.join(
                      extracted_paths["train_hr_url"], "DIV2K_train_HR"
                  ),
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "lr_path": extracted_paths["valid_lr_url"],
                  "hr_path": os.path.join(
                      extracted_paths["valid_hr_url"], "DIV2K_valid_HR"
                  ),
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/div2k/div2k_dataset_builder.py
imports: import os.path
  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 Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list