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mirrors_stanfordnlp/contract-nli-bert

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evaluate.py 1.63 KB
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Yuta Koreeda 提交于 2021-09-16 19:59 . Added license
# Copyright (c) 2021, Hitachi America Ltd. 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.
import json
import logging
import click
from contract_nli.evaluation import evaluate_all
logger = logging.getLogger(__name__)
@click.command()
@click.argument('task', type=str)
@click.argument('dataset-path', type=click.Path(exists=True))
@click.argument('prediction-path', type=click.Path(exists=True))
@click.argument('output-path', type=str)
def main(task, dataset_path, prediction_path, output_path):
logging.basicConfig(
format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
datefmt="%m/%d/%Y %H:%M:%S",
level=logging.INFO,
)
with open(dataset_path) as fin:
dataset = json.load(fin)
with open(prediction_path) as fin:
prediction = json.load(fin)
metrics = evaluate_all(dataset, prediction,
[1, 3, 5, 8, 10, 15, 20, 30, 40, 50],
task)
logger.info(f"Results@: {json.dumps(metrics, indent=2)}")
with open(output_path, 'w') as fout:
json.dump(metrics, fout, indent=2)
if __name__ == "__main__":
main()
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