class_docstr: SAT (Scholastic Aptitude Test) Analogy Questions is a dataset comprising 374 multiple-choice analogy questions.
code: def _generate_examples(self, filepath):
      data = []
      with open(filepath, "r", encoding="utf-8") as f:
          record = []
          for line in f:
              line = line.strip()
              if len(line) == 0 and record:
                  data.append(record)
                  record = []
              elif len(line) > 0 and line[0] == "#":
                  # Skip comments.
                  continue
              else:
                  record.append(line)
          data.append(record)
      for key, record in enumerate(data):
          source = record[-8]
          stem = record[-7]
          choices = record[-6:-1]
          solution = record[-1]
          yield key, {
              "source": source,
              "stem": stem,
              "choices": choices,
              "solution": solution,
          }
  
file_path: lm-evaluation-harness/lm_eval/datasets/sat_analogies/sat_analogies.py
imports: import os
  import datasets
label_desc: Use image node_id 4 for calling the SatAnalogies obj's underlying member method code with example usage: obj._generate_examples(filepath) without return types