class_docstr: Reddit Disentanglement dataset.
class_docstr_tok: ["Reddit","Disentanglement","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "path": os.path.join(
                      dl_manager.manual_dir, "train.csv"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "path": os.path.join(dl_manager.manual_dir, "val.csv")
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "path": os.path.join(
                      dl_manager.manual_dir, "test.csv"
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/reddit_disentanglement/reddit_disentanglement_dataset_builder.py
imports: import collections
  import csv
  import itertools
  import os
  from etils import epath
  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