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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()
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