| # | |
| # 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 | |
| if __name__ == '__main__': | |
| parser = argparse.ArgumentParser(description='Convert an MS MARCO run file to a TREC run file.') | |
| parser.add_argument('--input', required=True, default='', help='Input MS MARCO run file.') | |
| parser.add_argument('--output', required=True, default='', help='Output TREC run file.') | |
| args = parser.parse_args() | |
| with open(args.output, 'w') as fout: | |
| for line in open(args.input): | |
| query_id, doc_id, rank = line.strip().split('\t') | |
| score = 1.0 / int(rank) | |
| fout.write('{} Q0 {} {} {} anserini\n'.format( | |
| query_id, doc_id, rank, score)) | |
| print('Done!') | |