code: def aggregation(self):
      return {
          "f1_yesno": f1_score,
          "f1_abstractive": mean,
      }
  
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 10 for calling the QASPER obj's underlying member method code with example usage: obj.aggregation() and returns: dict