class_docstr: DROP is a QA dataset which tests comprehensive understanding of paragraphs.
code: def _info(self):
      features = datasets.Features(
          {
              "section_id": datasets.Value("string"),
              "passage": datasets.Value("string"),
              "question": datasets.Value("string"),
              "query_id": datasets.Value("string"),
              "answer": {
                  "number": datasets.Value("string"),
                  "date": {
                      "day": datasets.Value("string"),
                      "month": datasets.Value("string"),
                      "year": datasets.Value("string"),
                  },
                  "spans": datasets.features.Sequence(
                      datasets.Value("string")
                  ),
                  "worker_id": datasets.Value("string"),
                  "hit_id": datasets.Value("string"),
              },
              "validated_answers": datasets.features.Sequence(
                  {
                      "number": datasets.Value("string"),
                      "date": {
                          "day": datasets.Value("string"),
                          "month": datasets.Value("string"),
                          "year": datasets.Value("string"),
                      },
                      "spans": datasets.features.Sequence(
                          datasets.Value("string")
                      ),
                      "worker_id": datasets.Value("string"),
                      "hit_id": datasets.Value("string"),
                  }
              ),
          }
      )
      return datasets.DatasetInfo(
          description=_DESCRIPTION,
          features=features,
          homepage=_HOMEPAGE,
          license=_LICENSE,
          citation=_CITATION,
      )
  
file_path: lm-evaluation-harness/lm_eval/datasets/drop/drop.py
imports: import json
  import os
  import datasets
label_desc: Use image node_id 1 for calling the Drop obj's underlying member method code with example usage: obj._info() and returns: datasets