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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")
topics = get_topics("msmarco-passage-dev-subset-unicoil")
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_unicoil.tsv', 'w') as f:
for qid in tqdm(topics):
query = convert_pseudo_query_to_boost(topics[qid]['title'])
formated_query = {
"query_string": {
"query": query,
"default_field": "vector"
}
}
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)
"""
#####################
MRR @10: 0.35155222404147773
QueriesRanked: 6980
#####################
"""
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