class_docstr: German Credit (numeric) dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      data_file = dl_manager.download(URL)
      with epath.Path(data_file).open() as f:
          all_lines = f.read().split("\n")
      records = [l for l in all_lines if l]  # get rid of empty lines
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN, gen_kwargs={"records": records}
          ),
      ]
  
file_path: datasets/tensorflow_datasets/structured/german_credit_numeric.py
imports: from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the GermanCreditNumeric obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list