class_docstr: Sentiment140 Dataset.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_paths = dl_manager.download_and_extract(_DOWNLOAD_URL)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "path": os.path.join(
                      dl_paths,
                      "training.1600000.processed.noemoticon.csv",
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "path": os.path.join(
                      dl_paths, "testdata.manual.2009.06.14.csv"
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/sentiment140/sentiment140_dataset_builder.py
imports: from __future__ import annotations
  import codecs
  import csv
  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