code: def update_evaluator(self, in_file: str):
      hypothesises = []
      refs = []
      contexts = []
      with open(in_file) as _f:
          for line in _f:
              jline = json.loads(line)
              h_chain = SyntheticChain(
                  line=jline["dialog"][0][0]["steps"]
              )
              r_chain = SyntheticChain(
                  line=jline["dialog"][0][0]["original_steps"]
              )
              context = SyntheticChain(
                  line=jline["dialog"][0][0]["question"].split(". ")
              )
              hypothesises.append(h_chain)
              refs.append(r_chain)
              contexts.append(context)
      super().set_hypos(hypothesises)
      super().set_context(contexts)
      super().set_references(refs)
  
file_path: ParlAI/projects/roscoe/synthetic_evaluation/synthetic_roscoe.py
imports: import json
  import os
  from typing import List
  from projects.roscoe.score import EMBEDDING_MODEL_NAMES, EMBEDDING_MODELS, SEQ_EMB_MODEL_TYPES, Chain, Evaluator, REASONING_SCORES, SCORE_GROUPS, select_semantic_scores, select_inference_scores, select_language_scores, SENT_TRANS
  from projects.roscoe.utils import print_and_reset_max_gpu_memory, save_scores
  from parlai.core.params import ParlaiParser
label_desc: Use image node_id 2 for calling the SyntheticEvaluator obj's underlying member method code with example usage: obj.update_evaluator(in_file) without return types