class_docstr: prompt format was inspired by [日本語に特化した60億パラメータ規模のGPTモデルの構築と評価](https://www.anlp.jp/proceedings/annual_meeting/2023/pdf_dir/H9-4.pdf)
code: def _process_doc(self, doc):
      return {
          "goal": doc["question"],
          "choices": doc["answer_candidates"],
          "gold": doc["label"],
          "contexts": doc["contexts"],
      }
  
imports: import os
  import inspect
  import datasets
  from lm_eval.base import MultipleChoiceTask, rf
  import numpy
label_desc: Use image node_id 7 for calling the JAQKETV1 obj's underlying member method code with example usage: obj._process_doc(doc) and returns: dict