class_docstr: SAT (Scholastic Aptitude Test) Analogy Questions is a dataset comprising 374 multiple-choice analogy questions.
code: def _info(self):
      features = datasets.Features(
          {
              "source": datasets.Value("string"),
              "stem": datasets.Value("string"),
              "choices": datasets.features.Sequence(
                  datasets.Value("string")
              ),
              "solution": datasets.Value("string"),
          }
      )
      return datasets.DatasetInfo(
          description=_DESCRIPTION,
          features=features,
          homepage=_HOMEPAGE,
          license=_LICENSE,
          citation=_CITATION,
      )
  
file_path: lm-evaluation-harness/lm_eval/datasets/sat_analogies/sat_analogies.py
imports: import os
  import datasets
label_desc: Use image node_id 2 for calling the SatAnalogies obj's underlying member method code with example usage: obj._info() and returns: datasets