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25e57c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | # Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# 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.
"""Evalutes TriviaQA predictions."""
import json
from absl import app
from absl import flags
from absl import logging
import tensorflow as tf, tf_keras
from official.projects.triviaqa import evaluation
flags.DEFINE_string('gold_path', None,
'Path to golden validation, i.e. wikipedia-dev.json.')
flags.DEFINE_string('predictions_path', None,
'Path to predictions in JSON format')
FLAGS = flags.FLAGS
def main(argv):
if len(argv) > 1:
raise app.UsageError('Too many command-line arguments.')
with tf.io.gfile.GFile(FLAGS.gold_path) as f:
ground_truth = {
datum['QuestionId']: datum['Answer'] for datum in json.load(f)['Data']
}
with tf.io.gfile.GFile(FLAGS.predictions_path) as f:
predictions = json.load(f)
logging.info(evaluation.evaluate_triviaqa(ground_truth, predictions))
if __name__ == '__main__':
flags.mark_flag_as_required('predictions_path')
app.run(main)
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