class_docstr: QA4MRE dataset from CLEF shared tasks 2011, 2012, 2013.
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "topic_id": tfds.features.Text(),
                  "topic_name": tfds.features.Text(),
                  "test_id": tfds.features.Text(),
                  "document_id": tfds.features.Text(),
                  "document_str": tfds.features.Text(),
                  "question_id": tfds.features.Text(),
                  "question_str": tfds.features.Text(),
                  "answer_options": tfds.features.Sequence(
                      {
                          "answer_id": tfds.features.Text(),
                          "answer_str": tfds.features.Text(),
                      }
                  ),
                  "correct_answer_id": tfds.features.Text(),
                  "correct_answer_str": tfds.features.Text(),
              }
          ),
          # No default supervised keys because both passage and question are used
          # to determine the correct answer.
          supervised_keys=None,
          homepage="http://nlp.uned.es/clef-qa/repository/pastCampaigns.php",
      )
  
file_path: datasets/tensorflow_datasets/datasets/qa4mre/qa4mre_dataset_builder.py
imports: import os
  import xml.etree.ElementTree
  from absl import logging
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self