Spaces:
Runtime error
Runtime error
File size: 8,136 Bytes
d6585f5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 |
#
# 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 doc corpora (full and segmented) using pre-built indexes."""
import unittest
from integrations.utils import run_retrieval_and_return_scores
class TestPrebuiltMsMarcoV1Doc(unittest.TestCase):
def setUp(self):
self.threads = 16
self.batch_size = 128
#
# doc "full" conditions
#
def test_doc_full_trec_output(self):
"""Test case for MS MARCO V1 doc (full), 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-doc', 'msmarco-v1-doc-slim', 'msmarco-v1-doc-full']:
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc.trec.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index {index} --topics msmarco-doc-dev --bm25 --hits 1000',
'msmarco-doc-dev',
'trec_eval',
[['map', 'map'], ['recall.1000', 'recall_1000']])
self.assertTrue('map' in scores)
self.assertTrue('recall.1000' in scores)
self.assertAlmostEqual(scores['map'], 0.2774, delta=0.0001)
self.assertAlmostEqual(scores['recall.1000'], 0.9357, delta=0.0001)
def test_doc_full_msmarco_output(self):
"""Test case for MS MARCO V1 doc (full), 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-doc', 'msmarco-v1-doc-slim', 'msmarco-v1-doc-full']:
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc.msmarco.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index {index} --topics msmarco-doc-dev --bm25 --hits 100 --output-format msmarco',
'msmarco-doc-dev',
'msmarco_doc_string', [])
self.assertTrue('MRR@100' in scores)
self.assertEqual(scores['MRR@100'], '0.2766351807440808')
#
# doc segmented conditions
#
def test_doc_segmented_trec_output(self):
"""Test case for MS MARCO V1 doc segmented, 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-doc-segmented', 'msmarco-v1-doc-segmented-slim', 'msmarco-v1-doc-segmented-full']:
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc-segmented.trec.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index {index} --topics msmarco-doc-dev --bm25 --hits 10000 --max-passage --max-passage-hits 1000',
'msmarco-doc-dev',
'trec_eval',
[['map', 'map'], ['recall.1000', 'recall_1000']])
self.assertTrue('map' in scores)
self.assertTrue('recall.1000' in scores)
self.assertAlmostEqual(scores['map'], 0.2762, delta=0.0001)
self.assertAlmostEqual(scores['recall.1000'], 0.9311, delta=0.0001)
def test_doc_segmented_msmarco_output(self):
"""Test case for MS MARCO V1 doc segmented, 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-doc-segmented', 'msmarco-v1-doc-segmented-slim', 'msmarco-v1-doc-segmented-full']:
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc-segmented.msmarco.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index {index} --topics msmarco-doc-dev \
--bm25 --hits 1000 --max-passage --max-passage-hits 100 --output-format msmarco',
'msmarco-doc-dev',
'msmarco_doc_string', [])
self.assertTrue('MRR@100' in scores)
self.assertEqual(scores['MRR@100'], '0.2755196341768384')
#
# doc2query conditions
#
def test_doc_full_expanded_trec_output(self):
"""Test case for MS MARCO V1 doc (full) + doc2query-T5 expansions, dev queries, TREC output."""
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc.expanded.trec.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index msmarco-v1-doc-d2q-t5 --topics msmarco-doc-dev --bm25 --hits 1000',
'msmarco-doc-dev',
'trec_eval',
[['map', 'map'], ['recall.1000', 'recall_1000']])
self.assertTrue('map' in scores)
self.assertTrue('recall.1000' in scores)
self.assertAlmostEqual(scores['map'], 0.3273, delta=0.0001)
self.assertAlmostEqual(scores['recall.1000'], 0.9553, delta=0.0001)
def test_doc_full_expanded_msmarco_output(self):
"""Test case for MS MARCO V1 doc (full) + doc2query-T5 expansions, dev queries, MS MARCO output."""
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc.expanded.msmarco.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index msmarco-v1-doc-d2q-t5 --topics msmarco-doc-dev --bm25 --hits 100 --output-format msmarco',
'msmarco-doc-dev',
'msmarco_doc_string', [])
self.assertTrue('MRR@100' in scores)
self.assertEqual(scores['MRR@100'], '0.3268656233100833')
def test_doc_segmented_expanded_trec_output(self):
"""Test case for MS MARCO V1 doc segmented + doc2query-T5 expansions, dev queries, TREC output."""
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc-segmented.expanded.trec.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index msmarco-v1-doc-segmented-d2q-t5 --topics msmarco-doc-dev \
--bm25 --hits 10000 --max-passage --max-passage-hits 1000',
'msmarco-doc-dev',
'trec_eval',
[['map', 'map'], ['recall.1000', 'recall_1000']])
self.assertTrue('map' in scores)
self.assertTrue('recall.1000' in scores)
self.assertAlmostEqual(scores['map'], 0.3213, delta=0.0001)
self.assertAlmostEqual(scores['recall.1000'], 0.9530, delta=0.0001)
def test_doc_segmented_expanded_msmarco_output(self):
"""Test case for MS MARCO V1 doc segmented + doc2query-T5 expansions, dev queries, MS MARCO output."""
scores = run_retrieval_and_return_scores(
'runs/test_run.msmarco-doc-segmented.expanded.msmarco.txt',
f'python -m pyserini.search.lucene --threads {self.threads} --batch-size {self.batch_size} \
--index msmarco-v1-doc-segmented-d2q-t5 --topics msmarco-doc-dev \
--bm25 --hits 1000 --max-passage --max-passage-hits 100 --output-format msmarco',
'msmarco-doc-dev',
'msmarco_doc_string', [])
self.assertTrue('MRR@100' in scores)
self.assertEqual(scores['MRR@100'], '0.320918438140918')
if __name__ == '__main__':
unittest.main()
|