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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. | |
# | |
import json | |
import os | |
from elasticsearch import Elasticsearch | |
from elasticsearch.helpers import streaming_bulk | |
from tqdm import tqdm | |
INDEX_NAME = "msmarco-v1-passage" | |
MSMARCO_PATH = 'data/msmarco-passage-unicoil/' | |
def create_pseudo_doc(vector): | |
results = [] | |
for key in vector: | |
results += [key] * vector[key] | |
pesudo_doc = " ".join(results) | |
return pesudo_doc | |
def generate_unicoil_vector(): | |
for file in os.listdir(MSMARCO_PATH): | |
path = os.path.join(MSMARCO_PATH, file) | |
with open(path) as f: | |
for line in f: | |
info = json.loads(line) | |
docid = info['id'] | |
text = create_pseudo_doc(info['vector']) | |
action = { | |
"_op_type": "update", | |
"_index": INDEX_NAME, | |
"_id": docid, | |
"doc": {"vector": text}, | |
} | |
yield action | |
client = Elasticsearch("http://localhost:9200") | |
print("Indexing documents...") | |
successes = 0 | |
for ok, action in tqdm(streaming_bulk( | |
client=client, index=INDEX_NAME, actions=generate_unicoil_vector(), | |
)): | |
successes += ok | |
print(f"Indexed {successes} documents") |