class_docstr: Frames Labeled In Cinema (FLIC).
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      extract_path = dl_manager.download_and_extract(
          self.builder_config.url
      )
  
      mat_path = os.path.join(
          extract_path, self.builder_config.dir, "examples.mat"
      )
      with tf.io.gfile.GFile(mat_path, "rb") as f:
          data = tfds.core.lazy_imports.scipy.io.loadmat(
              f, struct_as_record=True, squeeze_me=True, mat_dtype=True
          )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "extract_path": extract_path,
                  "data": data,
                  "selection_column": 7,  # indicates train split selection
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "extract_path": extract_path,
                  "data": data,
                  "selection_column": 8,  # indicates test split selection
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/flic/flic_dataset_builder.py
imports: import os
  import numpy
  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