class_docstr: Iris flower dataset.
code: def _split_generators(self, dl_manager):
      iris_folder = dl_manager.download_and_extract(IRIS_URL)
      iris_file = iris_folder / "iris.data"
      all_lines = tf.io.gfile.GFile(iris_file).read().splitlines()
      records = [l for l in all_lines if l]  # get rid of empty lines
  
      # Specify the splits
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN, gen_kwargs={"records": records}
          ),
      ]
  
file_path: datasets/tensorflow_datasets/structured/iris.py
imports: 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 Iris obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list