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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 MS MARCO V1 passage corpus using pre-built indexes.""" | |
import unittest | |
from integrations.utils import run_retrieval_and_return_scores | |
class TestPrebuiltMsMarcoV1Passage(unittest.TestCase): | |
def setUp(self): | |
self.threads = 16 | |
self.batch_size = 128 | |
def test_passage_trec_output(self): | |
"""Test case for MS MARCO V1 passage, dev queries, TREC output | |
on all three pre-built indexes (base, slim, full).""" | |
# Loop over all three pre-built indexes. | |
for index in ['msmarco-v1-passage', 'msmarco-v1-passage-slim', 'msmarco-v1-passage-full']: | |
scores = run_retrieval_and_return_scores( | |
'runs/test_run.msmarco-passage.trec.txt', | |
f'python -m pyserini.search.lucene \ | |
--threads {self.threads} --batch-size {self.batch_size} \ | |
--index {index} --topics msmarco-passage-dev-subset --bm25', | |
'msmarco-passage-dev-subset', | |
'trec_eval', | |
[['map', 'map'], ['recall.1000', 'recall_1000']]) | |
self.assertTrue('map' in scores) | |
self.assertTrue('recall.1000' in scores) | |
self.assertAlmostEqual(scores['map'], 0.1958, delta=0.0001) | |
self.assertAlmostEqual(scores['recall.1000'], 0.8573, delta=0.0001) | |
def test_passage_msmarco_output(self): | |
"""Test case for MS MARCO V1 passage, dev queries, MS MARCO output | |
on all three pre-built indexes (base, slim, full).""" | |
# Loop over all three pre-built indexes. | |
for index in ['msmarco-v1-passage', 'msmarco-v1-passage-slim', 'msmarco-v1-passage-full']: | |
scores = run_retrieval_and_return_scores( | |
'runs/test_run.msmarco-passage.msmarco.txt', | |
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \ | |
--index {index} --topics msmarco-passage-dev-subset --bm25 --output-format msmarco', | |
'msmarco-passage-dev-subset', | |
'msmarco_passage_string', []) | |
self.assertTrue('MRR@10' in scores) | |
self.assertEqual(scores['MRR@10'], '0.18741227770955546') | |
def test_passage_expanded_trec_output(self): | |
"""Test case for MS MARCO V1 passage w/ doc2query-T5 expansions, dev queries, TREC output.""" | |
scores = run_retrieval_and_return_scores( | |
'runs/test_run.msmarco-passage.expanded.trec.txt', | |
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \ | |
--index msmarco-v1-passage-d2q-t5 --topics msmarco-passage-dev-subset --bm25', | |
'msmarco-passage-dev-subset', | |
'trec_eval', | |
[['map', 'map'], ['recall.1000', 'recall_1000']]) | |
self.assertTrue('map' in scores) | |
self.assertTrue('recall.1000' in scores) | |
self.assertAlmostEqual(scores['map'], 0.2893, delta=0.0001) | |
self.assertAlmostEqual(scores['recall.1000'], 0.9506, delta=0.0001) | |
def test_passage_expanded_msmarco_output(self): | |
"""Test case for MS MARCO V1 passage w/ doc2query-T5 expansions, dev queries, MS MARCO output.""" | |
scores = run_retrieval_and_return_scores( | |
'runs/test_run.msmarco-passage.expanded.msmarco.txt', | |
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \ | |
--index msmarco-v1-passage-d2q-t5 --topics msmarco-passage-dev-subset --bm25 --output-format msmarco', | |
'msmarco-passage-dev-subset', | |
'msmarco_passage_string', []) | |
self.assertTrue('MRR@10' in scores) | |
self.assertEqual(scores['MRR@10'], '0.281560751807885') | |
if __name__ == '__main__': | |
unittest.main() | |