class_docstr: Genomic sequence dataset for out-of-distribution (OOD) detection.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          # This is the description that will appear on the datasets page.
          description=_DESCRIPTION,
          # tfds.features.FeatureConnectors
          features=tfds.features.FeaturesDict(
              {
                  "seq": tfds.features.Text(),
                  "label": tfds.features.ClassLabel(names=_LABELS_ALL),
                  "seq_info": tfds.features.Text(),
                  "domain": tfds.features.Text(),
              }
          ),
          # If there's a common (input, target) tuple from the features,
          # specify them here. They'll be used if as_supervised=True in
          # builder.as_dataset.
          supervised_keys=("seq", "label"),
          # Homepage of the dataset for documentation
          homepage="https://github.com/google-research/google-research/tree/master/genomics_ood",
          citation=_CITATION,
      )
  
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 1 for calling the GenomicsOod obj's underlying member method code with example usage: obj._info() and returns: tfds