code: def log_similarity_result(logfile, result):
      
      assert result['task'] == 'similarity'
  
      if not logfile:
          return
  
      with open(logfile, 'a') as f:
          f.write('\t'.join([
              str(result['global_step']),
              result['task'],
              result['dataset_name'],
              json.dumps(result['dataset_kwargs']),
              result['similarity_function'],
              str(result['spearmanr']),
              str(result['num_dropped']),
          ]))
  
          f.write('\n')
docs: Log a similarity evaluation result dictionary as TSV to logfile.