# example run command# python dev/eval/summarize_eval.py lm-evaluation-harness/results/result774M# this script is optional, the run_eval.sh should already print these# but this script can be used to re-print them import json, sys RESULT = sys.argv[1]print("-"*40) key = {"arc_challenge_25shot.json": "acc_norm",       "gsm8k_5shot.json": "acc",       "hellaswag_10shot.json": "acc_norm",       "mmlu_5shot.json": "acc",       "truthfulqa_0shot.json": "mc2",       "winogrande_5shot.json": "acc"       } total = 0for test in ["arc_challenge_25shot.json", "gsm8k_5shot.json", "hellaswag_10shot.json", "mmlu_5shot.json", "truthfulqa_0shot.json", "winogrande_5shot.json"]:    data = json.loads(open("./%s/%s"%(RESULT, test)).read())    r_count = 0    r_total = 0    for test_name in data['results']:      r_count += 1      r_total += data['results'][test_name][key[test]]    score = (r_total*100)/r_count    print(f"{test:<30} : {score:.4f}")    total += scoreaverage = total / 6.0print("-"*40)print(f"Average Score                  : {average:.4f}")