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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. | |
# | |
from elasticsearch import Elasticsearch | |
from pyserini.search import get_topics | |
from tqdm import tqdm | |
client = Elasticsearch("http://localhost:9200", timeout=60) | |
topics = get_topics("msmarco-passage-dev-subset") | |
topics_unicoil = get_topics("msmarco-passage-dev-subset-unicoil") | |
def escape_query(query): | |
escaped = "" | |
for c in query: | |
if c not in ['+', '-', '=', '&&', '||', '>', '<', '!', '(', ')', '{', '}', '[', ']', '^', '"', '~', '*', '?', ':', '\\', '/']: | |
escaped += c | |
else: | |
escaped += f'\{c}' | |
return escaped | |
def convert_pseudo_query_to_boost(query): | |
tf = {} | |
tokens = query.split() | |
for tok in tokens: | |
if tok not in tf: | |
tf[tok] = 0 | |
tf[tok] += 1 | |
boost = "" | |
for tok in tf: | |
if tok != "[SEP]": | |
escaped = tok | |
if tok in ['+', '-', '=', '&&', '||', '>', '<', '!', '(', ')', '{', '}', '[', ']', '^', '"', '~', '*', '?', ':', '\\', '/']: | |
escaped = tok.replace(tok, f"\\{tok}") | |
boost += f"{escaped}^{tf[tok]} " | |
return boost.rstrip() | |
with open('run.es_hybrid.tsv', 'w') as f: | |
for qid in tqdm(topics): | |
query_bm25 = escape_query(topics[qid]['title']) | |
query_unicoil = convert_pseudo_query_to_boost( | |
topics_unicoil[qid]['title']) | |
formated_query = { | |
"bool": { | |
"should": [ | |
{"query_string": { | |
"query": query_unicoil, | |
"default_field": "vector", | |
"boost": 1 | |
}}, | |
{"query_string": { | |
"query": query_bm25, | |
"default_field": "document", | |
"boost": 1 | |
}}, | |
] | |
} | |
} | |
resp = client.search(index="msmarco-v1-passage", query=formated_query) | |
for i in range(len(resp["hits"]["hits"])): | |
pid = resp["hits"]["hits"][i]['_id'] | |
record = f"{qid}\t{pid}\t{i+1}\n" | |
f.write(record) | |