class_docstr: prompt template is taken from [ChatGPT vs BERT: どちらが日本語をより理解できるのか?](https://fintan.jp/page/9126/)
class_docstr_tok: ["prompt","template","is","taken","from","[","ChatGPT","vs","BERT",":","\u3069\u3061\u3089\u304c\u65e5\u672c\u8a9e\u3092\u3088\u308a\u7406\u89e3\u3067\u304d\u308b\u306e\u304b","?","]","(","https",":","\/\/fintan.jp\/page\/9126\/",")"]
docstr: 前提:{premise}
  仮説:{hypothesis}
  関係:
docstr_tok: ["\u524d\u63d0",":","{","premise","}","\u4eee\u8aac",":","{","hypothesis","}","\u95a2\u4fc2",":"]
code: def doc_to_text(self, doc):
      """
      前提:{premise}
      仮説:{hypothesis}
      関係:
      """
      return f"前提:{doc['premise']}\n" f"仮説:{doc['hypothesis']}\n" "関係:"
  
imports: import os
  from lm_eval.base import BalancedMultipleChoiceTask, rf
label_desc: Use image node_id 7 for calling the JNLIWithFintanPrompt obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: str, doc, str, doc, str