code: def score(self, sources, generateds, **kwargs):
      output = {"scores": [], "images": []}
      for source, gen in zip(sources, generateds):
          score = self.score_one(source, gen)
          output["scores"].append(score["score"])
          output["images"].append(score["image"])
      return output
  
imports: from transformers import AutoTokenizer, AutoModelForSequenceClassification
  import nltk
  import numpy
  import torch
  import os
  import json
  from .None import utils_misc
label_desc: Use image node_id 4 for calling the SummaCZS obj's underlying member method code with example usage: obj.score(sources, generateds) and returns: output