class_docstr: Wine Quality Dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      file_path = dl_manager.download(
          {"train": self.builder_config.dl_url}
      )
  
      # There is no predefined train/val/test split for this dataset.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"file_path": file_path["train"]},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/structured/wine_quality/wine_quality.py
imports: from __future__ import annotations
  import csv
  from etils import epath
  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 WineQuality obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list