class_docstr: The Mctaco dataset.
class_docstr_tok: ["The","Mctaco","dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "sentence": tfds.features.Text(),
                  "question": tfds.features.Text(),
                  "answer": tfds.features.Text(),
                  "label": tfds.features.ClassLabel(
                      names=["no", "yes"]
                  ),
                  "category": tfds.features.ClassLabel(
                      names=[
                          "Event Ordering",
                          "Event Duration",
                          "Frequency",
                          "Stationarity",
                          "Typical Time",
                      ]
                  ),
              }
          ),
          # No default supervised_keys (as we have to pass both the sentence,
          # question and possible answer as input.
          supervised_keys=None,
          homepage="https://github.com/CogComp/MCTACO",
      )
  
file_path: datasets/tensorflow_datasets/datasets/mctaco/mctaco_dataset_builder.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import csv
  from etils import epath
  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