class_docstr: Genomic sequence dataset for out-of-distribution (OOD) detection.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      data_path = dl_manager.extract(_DATA_URL)
      return [
          tfds.core.SplitGenerator(
              name="train",  # name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filename": os.path.join(
                      data_path, "before_2011_in_tr.txt"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name="validation",
              gen_kwargs={
                  "filename": os.path.join(
                      data_path, "between_2011-2016_in_val.txt"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name="test",
              gen_kwargs={
                  "filename": os.path.join(
                      data_path, "after_2016_in_test.txt"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name="validation_ood",
              gen_kwargs={
                  "filename": os.path.join(
                      data_path, "between_2011-2016_ood_val.txt"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name="test_ood",
              gen_kwargs={
                  "filename": os.path.join(
                      data_path, "after_2016_ood_test.txt"
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/structured/genomics_ood.py
imports: import csv
  import os
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the GenomicsOod obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list