class_docstr: The Cosmos QA dataset.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "context": tfds.features.Text(),
                  "question": tfds.features.Text(),
                  "answer0": tfds.features.Text(),
                  "answer1": tfds.features.Text(),
                  "answer2": tfds.features.Text(),
                  "answer3": tfds.features.Text(),
                  # Label indicates which of the answers is correct.
                  "label": tfds.features.ClassLabel(
                      names=["0", "1", "2", "3"]
                  ),
                  "id": tfds.features.Text(),
              }
          ),
          # No default supervised_keys
          supervised_keys=None,
          homepage="https://wilburone.github.io/cosmos/",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/question_answering/cosmos_qa.py
imports: import csv
  import json
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the CosmosQA obj's underlying member method code with example usage: obj._info() and returns: tfds