Exemple #1
0
def main(argv):
    if len(argv) > 1:
        raise app.UsageError('Too many command-line arguments.')
    flags.mark_flag_as_required('prediction_file')

    sources, predictions, _ = score_lib.read_data(FLAGS.prediction_file,
                                                  FLAGS.case_insensitive)
    ref_filepaths = [
        get_data_filepath('turkcorpus', 'valid', 'simple.turk', i)
        for i in range(8)
    ]
    target_lists = [read_lines(ref_filepath) for ref_filepath in ref_filepaths]
    logging.info(f'Read file: {FLAGS.prediction_file}')
    turk_scores = get_all_scores(orig_sents=sources,
                                 sys_sents=predictions,
                                 refs_sents=target_lists)
    logging.info("[turk] {}".format(turk_scores))
    ref_filepaths = [
        get_data_filepath('asset', 'valid', 'simp', i) for i in range(10)
    ]
    target_lists = [read_lines(ref_filepath) for ref_filepath in ref_filepaths]
    asset_scores = get_all_scores(orig_sents=sources,
                                  sys_sents=predictions,
                                  refs_sents=target_lists)
    logging.info("[asset] {}".format(asset_scores))
 def test_input_reading(self):
     path = os.path.join(FLAGS.test_tmpdir, 'file.txt')
     with tf.io.gfile.GFile(path, 'w') as writer:
         writer.write('source\tpred\ttarget1\ttarget2\n'
                      'Source2\tpRed2\ttarGet3\n')
     sources, predictions, target_lists = score_lib.read_data(
         path, lowercase=True)
     self.assertEqual(sources, ['source', 'source2'])
     self.assertEqual(predictions, ['pred', 'pred2'])
     self.assertEqual(target_lists, [['target1', 'target2'], ['target3']])
Exemple #3
0
def main(argv):
  if len(argv) > 1:
    raise app.UsageError('Too many command-line arguments.')
  flags.mark_flag_as_required('prediction_file')

  sources, predictions, target_lists = score_lib.read_data(
      FLAGS.prediction_file, FLAGS.case_insensitive)
  logging.info(f'Read file: {FLAGS.prediction_file}')
  exact = score_lib.compute_exact_score(predictions, target_lists)
  sari, keep, addition, deletion = score_lib.compute_sari_scores(
      sources, predictions, target_lists)
  print(f'Exact score:     {100*exact:.3f}')
  print(f'SARI score:      {100*sari:.3f}')
  print(f' KEEP score:     {100*keep:.3f}')
  print(f' ADDITION score: {100*addition:.3f}')
  print(f' DELETION score: {100*deletion:.3f}')
Exemple #4
0
def main(argv):
    if len(argv) > 1:
        raise app.UsageError('Too many command-line arguments.')
    flags.mark_flag_as_required('prediction_file')

    predDomain_list, predIntent_list, domain_list, right_intent_num, right_slot_num, exact_num = score_lib.read_data(
        FLAGS.prediction_file, FLAGS.do_lower_case)
    logging.info(f'Read file: {FLAGS.prediction_file}')
    all_num = len(domain_list)
    domain_acc = score_lib.compute_exact_score(predDomain_list, domain_list)
    intent_acc = float(right_intent_num) / all_num
    slot_acc = float(right_slot_num) / all_num
    exact_score = float(exact_num) / all_num
    print(
        'Num=%d, domain_acc=%.4f, intent_acc=%.4f, slot_acc=%.5f, exact_score=%.4f'
        % (all_num, domain_acc, intent_acc, slot_acc, exact_score))