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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. | |
| # | |
| """Integration tests for TCT-ColBERTv1 models using on-the-fly query encoding.""" | |
| import os | |
| import socket | |
| import unittest | |
| from integrations.utils import clean_files, run_command, parse_score | |
| from pyserini.search import QueryEncoder | |
| from pyserini.search import get_topics | |
| class TestSearchIntegration(unittest.TestCase): | |
| def setUp(self): | |
| self.temp_files = [] | |
| self.threads = 16 | |
| self.batch_size = 256 | |
| # Hard-code larger values for internal servers | |
| if socket.gethostname().startswith('damiano') or socket.gethostname().startswith('orca'): | |
| self.threads = 36 | |
| self.batch_size = 144 | |
| def test_msmarco_passage_tct_colbert_bf_otf(self): | |
| output_file = 'test_run.msmarco-passage.tct_colbert.bf-otf.tsv' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.faiss --topics msmarco-passage-dev-subset \ | |
| --index msmarco-passage-tct_colbert-bf \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| --batch-size {self.batch_size} \ | |
| --threads {self.threads} \ | |
| --output {output_file} \ | |
| --output-format msmarco' | |
| cmd2 = f'python -m pyserini.eval.msmarco_passage_eval msmarco-passage-dev-subset {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @10") | |
| self.assertEqual(status, 0) | |
| # We get a small difference in scores on macOS vs. Linux, better way to check: | |
| self.assertAlmostEqual(score, 0.3350, delta=0.0002) | |
| def test_msmarco_passage_tct_colbert_hnsw_otf(self): | |
| output_file = 'test_run.msmarco-passage.tct_colbert.hnsw-otf.tsv' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.faiss --topics msmarco-passage-dev-subset \ | |
| --index msmarco-passage-tct_colbert-hnsw \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| --output {output_file} \ | |
| --output-format msmarco ' | |
| cmd2 = f'python -m pyserini.eval.msmarco_passage_eval msmarco-passage-dev-subset {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @10") | |
| self.assertEqual(status, 0) | |
| self.assertAlmostEqual(score, 0.3345, delta=0.0002) | |
| def test_msmarco_passage_tct_colbert_bf_bm25_hybrid_otf(self): | |
| output_file = 'test_run.msmarco-passage.tct_colbert.bf-otf.bm25.tsv' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.hybrid dense --index msmarco-passage-tct_colbert-bf \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| sparse --index msmarco-passage \ | |
| fusion --alpha 0.12 \ | |
| run --topics msmarco-passage-dev-subset \ | |
| --output {output_file} \ | |
| --batch-size {self.batch_size} --threads {self.threads} \ | |
| --output-format msmarco' | |
| cmd2 = f'python -m pyserini.eval.msmarco_passage_eval msmarco-passage-dev-subset {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @10") | |
| self.assertEqual(status, 0) | |
| self.assertAlmostEqual(score, 0.3529, places=4) | |
| def test_msmarco_passage_tct_colbert_bf_d2q_hybrid_otf(self): | |
| output_file = 'test_run.msmarco-passage.tct_colbert.bf-otf.doc2queryT5.tsv' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.hybrid dense --index msmarco-passage-tct_colbert-bf \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| sparse --index msmarco-passage-expanded \ | |
| fusion --alpha 0.22 \ | |
| run --topics msmarco-passage-dev-subset \ | |
| --output {output_file} \ | |
| --batch-size {self.batch_size} --threads {self.threads} \ | |
| --output-format msmarco' | |
| cmd2 = f'python -m pyserini.eval.msmarco_passage_eval msmarco-passage-dev-subset {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @10") | |
| self.assertEqual(status, 0) | |
| self.assertAlmostEqual(score, 0.3647, places=4) | |
| def test_msmarco_passage_tct_colbert_encoded_queries(self): | |
| encoded = QueryEncoder.load_encoded_queries('tct_colbert-msmarco-passage-dev-subset') | |
| topics = get_topics('msmarco-passage-dev-subset') | |
| for t in topics: | |
| self.assertTrue(topics[t]['title'] in encoded.embedding) | |
| def test_msmarco_doc_tct_colbert_bf_otf(self): | |
| output_file = 'test_run.msmarco-doc.passage.tct_colbert-otf.txt' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.faiss --topics msmarco-doc-dev \ | |
| --index msmarco-doc-tct_colbert-bf \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| --output {output_file} \ | |
| --hits 1000 \ | |
| --max-passage \ | |
| --max-passage-hits 100 \ | |
| --output-format msmarco \ | |
| --batch-size {self.batch_size} \ | |
| --threads {self.threads}' | |
| cmd2 = f'python -m pyserini.eval.msmarco_doc_eval --judgments msmarco-doc-dev --run {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @100") | |
| self.assertEqual(status, 0) | |
| self.assertAlmostEqual(score, 0.3323, places=4) | |
| def test_msmarco_doc_tct_colbert_bf_bm25_hybrid_otf(self): | |
| output_file = 'test_run.msmarco-doc.tct_colbert.bf-otf.bm25.tsv' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.hybrid dense --index msmarco-doc-tct_colbert-bf \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| sparse --index msmarco-doc-per-passage \ | |
| fusion --alpha 0.25 \ | |
| run --topics msmarco-doc-dev \ | |
| --output {output_file} \ | |
| --hits 1000 --max-passage --max-passage-hits 100 \ | |
| --batch-size {self.batch_size} --threads {self.threads} \ | |
| --output-format msmarco' | |
| cmd2 = f'python -m pyserini.eval.msmarco_doc_eval --judgments msmarco-doc-dev --run {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @100") | |
| self.assertEqual(status, 0) | |
| self.assertAlmostEqual(score, 0.3701, places=4) | |
| def test_msmarco_doc_tct_colbert_bf_d2q_hybrid_otf(self): | |
| output_file = 'test_run.msmarco-doc.tct_colbert.bf-otf.doc2queryT5.tsv' | |
| self.temp_files.append(output_file) | |
| cmd1 = f'python -m pyserini.search.hybrid dense --index msmarco-doc-tct_colbert-bf \ | |
| --encoder castorini/tct_colbert-msmarco \ | |
| sparse --index msmarco-doc-expanded-per-passage \ | |
| fusion --alpha 0.32 \ | |
| run --topics msmarco-doc-dev \ | |
| --output {output_file} \ | |
| --hits 1000 --max-passage --max-passage-hits 100 \ | |
| --batch-size {self.batch_size} --threads {self.threads} \ | |
| --output-format msmarco' | |
| cmd2 = f'python -m pyserini.eval.msmarco_doc_eval --judgments msmarco-doc-dev --run {output_file}' | |
| status = os.system(cmd1) | |
| stdout, stderr = run_command(cmd2) | |
| score = parse_score(stdout, "MRR @100") | |
| self.assertEqual(status, 0) | |
| self.assertAlmostEqual(score, 0.3784, places=4) | |
| def test_msmarco_doc_tct_colbert_encoded_queries(self): | |
| encoded = QueryEncoder.load_encoded_queries('tct_colbert-msmarco-doc-dev') | |
| topics = get_topics('msmarco-doc-dev') | |
| for t in topics: | |
| self.assertTrue(topics[t]['title'] in encoded.embedding) | |
| def tearDown(self): | |
| clean_files(self.temp_files) | |
| if __name__ == '__main__': | |
| unittest.main() | |