class_docstr: CoQA is a large-scale dataset for building Conversational Question Answering systems.
class_docstr_tok: ["CoQA","is","a","large-scale","dataset","for","building","Conversational","Question","Answering","systems","."]
code: def _info(self):
      features = datasets.Features(
          {
              "id": datasets.Value("string"),
              "source": datasets.Value("string"),
              "story": datasets.Value("string"),
              "questions": datasets.features.Sequence(
                  {
                      "input_text": datasets.Value("string"),
                      "turn_id": datasets.Value("int32"),
                  }
              ),
              "answers": datasets.features.Sequence(
                  {
                      "span_start": datasets.Value("int32"),
                      "span_end": datasets.Value("int32"),
                      "span_text": datasets.Value("string"),
                      "input_text": datasets.Value("string"),
                      "turn_id": datasets.Value("int32"),
                  }
              ),
              "additional_answers": {
                  "0": datasets.features.Sequence(
                      {
                          "span_start": datasets.Value("int32"),
                          "span_end": datasets.Value("int32"),
                          "span_text": datasets.Value("string"),
                          "input_text": datasets.Value("string"),
                          "turn_id": datasets.Value("int32"),
                      }
                  ),
                  "1": datasets.features.Sequence(
                      {
                          "span_start": datasets.Value("int32"),
                          "span_end": datasets.Value("int32"),
                          "span_text": datasets.Value("string"),
                          "input_text": datasets.Value("string"),
                          "turn_id": datasets.Value("int32"),
                      }
                  ),
                  "2": datasets.features.Sequence(
                      {
                          "span_start": datasets.Value("int32"),
                          "span_end": datasets.Value("int32"),
                          "span_text": datasets.Value("string"),
                          "input_text": datasets.Value("string"),
                          "turn_id": datasets.Value("int32"),
                      }
                  ),
              },
          }
      )
      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 Coqa obj's underlying member method code with example usage: obj._info() and returns: datasets