class_docstr: Question Answering in Context (QuAC) is a dataset for modeling, understanding, and  participating in information seeking dialog.
class_docstr_tok: ["Question","Answering","in","Context","(","QuAC",")","is","a","dataset","for","modeling",",","understanding",",","and","participating","in","information","seeking","dialog","."]
code: def _info(self):
      features = datasets.Features(
          {
              "title": datasets.Value("string"),
              "section_title": datasets.Value("string"),
              "paragraph": datasets.Value("string"),
              "question": datasets.Value("string"),
              "answer": datasets.Value("string"),
          }
      )
      return datasets.DatasetInfo(
          description=_DESCRIPTION,
          features=features,
          homepage=_HOMEPAGE,
          license=_LICENSE,
          citation=_CITATION,
      )
  
imports: import json
  import datasets
label_desc: Use image node_id 1 for calling the Quac obj's underlying member method code with example usage: obj._info() and returns: datasets