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# | |
# Pyserini: Reproducible IR research with sparse and dense representations | |
# | |
# 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 argparse | |
import csv | |
import json | |
def parse_qa_csv_file(location): | |
with open(location) as file: | |
reader = csv.reader(file, delimiter='\t') | |
for row in reader: | |
question = row[0] | |
answers = eval(row[1]) | |
yield question, answers | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser() | |
parser.add_argument('--input', type=str, metavar='path', | |
help="Path to question answers csv file") | |
parser.add_argument('--output', type=str, metavar='path', | |
help="Path to topic json file") | |
args = parser.parse_args() | |
topic = {} | |
for idx, (question, answers) in enumerate(parse_qa_csv_file(args.input)): | |
topic[str(idx)] = {'title': question, 'answers': answers} | |
json.dump(topic, open(args.output, 'w'), indent=4) | |