text: import loading_data
  
  dataset_to_metric = {"sst": "acc", "mrpc": "acc_and_f1", "cola": "mcc", "rte": "acc"}
  
  
  def main():
      data = loading_data.load_all_data()
  
      for dataset in data:
          max_perf = -1
          cur_data = data[dataset]
          cur_metric = dataset_to_metric[dataset]
          #import pdb; pdb.set_trace()
          for init_seed in cur_data:
              for data_seed in cur_data[init_seed]:
                  cur_evals = cur_data[init_seed][data_seed][cur_metric]['during']
                  cur_evals_without_index = [eval_with_index[1] for eval_with_index in cur_evals]
                  cur_exp_max = max(cur_evals_without_index)
                  if max_perf < cur_exp_max:
                      max_perf = cur_exp_max
  
          print(dataset, max_perf)
  
  
  
  
  if __name__ == "__main__":
      main()
  