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score_main.py
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score_main.py
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# coding=utf-8
# Copyright 2019 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Lint as: python3
"""Calculates evaluation scores for a prediction TSV file.
The prediction file is produced by predict_main.py and should contain 3 or more
columns:
1: sources (concatenated)
2: prediction
3-n: targets (1 or more)
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl import app
from absl import flags
from absl import logging
import score_lib
FLAGS = flags.FLAGS
flags.DEFINE_string(
'prediction_file', None,
'TSV file containing source, prediction, and target columns.')
flags.DEFINE_bool(
'case_insensitive', True,
'Whether score computation should be case insensitive (in the LaserTagger '
'paper this was set to True).')
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}')
if __name__ == '__main__':
app.run(main)