class_docstr: SI-Score synthetic image dataset.
class_docstr_tok: ["SI-Score","synthetic","image","dataset","."]
docstr: Returns SplitGenerator.
docstr_tok: ["Returns","SplitGenerator","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerator."""
      # using rotation link only for now
      variant = self.builder_config.variant
      dataset_url = "/".join((_BASE_URL, f"{variant}.zip"))
      path = dl_manager.download_and_extract(dataset_url)
      path = os.path.join(path, _VARIANT_EXPANDED_DIR_NAMES[variant])
      return {"test": self._generate_examples(datapath=path)}
  
file_path: datasets/tensorflow_datasets/datasets/siscore/siscore_dataset_builder.py
imports: import dataclasses
  import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.datasets.siscore import labels
  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: dict