class_docstr: MLQA: Multilingual Question Answering Dataset.
class_docstr_tok: ["MLQA",":","Multilingual","Question","Answering","Dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=qa_utils.squadlike_features(),
          # No default supervised_keys (as we have to pass both question
          # and context as input).
          supervised_keys=None,
          homepage="https://github.com/facebookresearch/MLQA",
      )
  
file_path: datasets/tensorflow_datasets/datasets/mlqa/mlqa_dataset_builder.py
imports: import os
  import tensorflow_datasets.public_api
  from tensorflow_datasets.question_answering import qa_utils
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