code: def training_docs(self):
      for doc in self.dataset["train"]:
          yield from self._process_doc(doc)
  
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 6 for calling the QASPER obj's underlying member method code with example usage: obj.training_docs() without return types