code: def doc_to_text(self, doc):
      return (
          "TITLE: "
          + doc["title"]
          + "\n"
          + "ABSTRACT: "
          + doc["abstract"]
          + "\n\n"
          + "Q: "
          + doc["question"]
          + "\n\n"
          + "A:"
      )
  
imports: from collections import Counter
  import re
  import string
  from lm_eval.base import rf, Task
  from lm_eval.metrics import f1_score, mean
label_desc: Use image node_id 4 for calling the QASPER obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: unknown