Adding a dataset in .csv format to TFDS

I am working on the text summarization task and trying to add a .csv dataset to tensorflow_datasets (this is required to run a pre-trained transformer). I am following this tutorial https://www.tensorflow.org/datasets/add_dataset but I still don't get how to add it.

This is what I have so far:

import tensorflow_datasets.public_api as tfds

# TODO(data.csv): BibTeX citation
_CITATION = """
"""

_HOMEPAGE = "https:..."

# TODO(data.csv):
_DESCRIPTION = """A textual corpus of ...
"""

_DOCUMENT = "text"
_SUMMARY = "summary"

manual_dir = './'

class new_dataset(tfds.core.GeneratorBasedBuilder):
  """TODO(data.csv): Short description of my dataset."""

  # TODO(data.csv): Set up version.
  VERSION = tfds.core.Version('0.1.0')

  def _info(self):
    return tfds.core.DatasetInfo(
        builder=self,
        description=_DESCRIPTION,
        features=tfds.features.FeaturesDict({
            _DOCUMENT: tfds.features.Text(),
            _SUMMARY: tfds.features.Text()
        }),
        supervised_keys=(_DOCUMENT, _SUMMARY),
        homepage="https://...",
        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
    """Returns SplitGenerators."""
    # TODO(data.csv): Downloads the data and defines the splits
    # dl_manager is a tfds.download.DownloadManager that can be used to
    # download and extract URLs
    return [
        tfds.core.SplitGenerator(
            name=tfds.Split.TRAIN,
            # These kwargs will be passed to _generate_examples
            gen_kwargs={},
        ),
    ]

  def _generate_examples(self):
    # Yields examples from the dataset
    yield 'key', {}

How to define def _split_generators and def _generate_examples properly if my dataset is a .csv file with 2 columns: 'text' and 'summary'? This python file and my dataset are in the same directory.