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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 json | |
import os | |
from transformers import BertTokenizer, T5Tokenizer | |
def write_to_file(tokenizer, input, output): | |
with open(input, encoding='utf-8') as f: | |
out_f = open(output, 'w') | |
for i, line in enumerate(f): | |
fdict = json.loads(line) | |
contents = fdict['contents'] | |
tok = tokenizer.tokenize(contents) | |
tokcont = ' ' | |
fdict['contents'] = tokcont.join(tok) | |
out_f.write(json.dumps(fdict) + '\n') | |
if i % 10000 == 0: | |
print(f'Converted {i:,} docs, writing into file {output}') | |
out_f.close() | |
def main(args): | |
if ('bert' in args.tokenizer): | |
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') | |
else: | |
tokenizer = T5Tokenizer.from_pretrained('castorini/doc2query-t5-base-msmarco') | |
if (os.path.isdir(args.input)): | |
for i, inf in enumerate(sorted(os.listdir(args.input))): | |
if not os.path.isdir(args.output): | |
os.mkdir(args.output) | |
outf = os.path.join(args.output, 'docs{:02d}.json'.format(i)) | |
write_to_file(tokenizer,os.path.join(args.input, inf), outf) | |
else: | |
write_to_file(tokenizer,args.input, args.output) | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--input", type=str, help='Input file/dir', required=True) | |
parser.add_argument("--output", type=str, help='Output file/dir', required=True) | |
parser.add_argument("--tokenizer", type=str, help='full name of tokenizer', default='bert-base-uncased') | |
args = parser.parse_args() | |
main(parser.parse_args()) |