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from __future__ import annotations
import json
import logging
import os
from sentence_transformers import CrossEncoder, SentenceTransformer
from mteb import MTEB
logging.basicConfig(level=logging.INFO)
def test_mteb_rerank():
# Test that reranking works
# unfortunately, we need all the query ids to pretend to have this
scifact_keys = [
"1",
"3",
"5",
"13",
"36",
"42",
"48",
"49",
"50",
"51",
"53",
"54",
"56",
"57",
"70",
"72",
"75",
"94",
"99",
"100",
"113",
"115",
"118",
"124",
"127",
"128",
"129",
"130",
"132",
"133",
"137",
"141",
"142",
"143",
"146",
"148",
"163",
"171",
"179",
"180",
"183",
"185",
"198",
"208",
"212",
"213",
"216",
"217",
"218",
"219",
"230",
"232",
"233",
"236",
"237",
"238",
"239",
"248",
"249",
"261",
"268",
"269",
"274",
"275",
"279",
"294",
"295",
"298",
"300",
"303",
"312",
"314",
"324",
"327",
"338",
"343",
"350",
"354",
"362",
"380",
"384",
"385",
"386",
"388",
"399",
"410",
"411",
"415",
"421",
"431",
"436",
"437",
"439",
"440",
"443",
"452",
"475",
"478",
"491",
"501",
"502",
"507",
"508",
"513",
"514",
"516",
"517",
"521",
"525",
"527",
"528",
"532",
"533",
"535",
"536",
"539",
"540",
"544",
"549",
"551",
"552",
"554",
"560",
"569",
"575",
"577",
"578",
"587",
"589",
"593",
"597",
"598",
"613",
"619",
"623",
"628",
"636",
"637",
"641",
"644",
"649",
"659",
"660",
"674",
"684",
"690",
"691",
"692",
"693",
"700",
"702",
"715",
"716",
"718",
"721",
"723",
"727",
"728",
"729",
"742",
"743",
"744",
"756",
"759",
"768",
"770",
"775",
"781",
"783",
"784",
"785",
"793",
"800",
"805",
"808",
"811",
"814",
"820",
"821",
"823",
"830",
"831",
"832",
"834",
"837",
"839",
"845",
"847",
"852",
"859",
"870",
"873",
"879",
"880",
"882",
"887",
"903",
"904",
"907",
"911",
"913",
"914",
"921",
"922",
"936",
"956",
"957",
"960",
"967",
"971",
"975",
"982",
"985",
"993",
"1012",
"1014",
"1019",
"1020",
"1021",
"1024",
"1029",
"1041",
"1049",
"1062",
"1086",
"1088",
"1089",
"1099",
"1100",
"1104",
"1107",
"1110",
"1121",
"1130",
"1132",
"1137",
"1140",
"1144",
"1146",
"1150",
"1163",
"1175",
"1179",
"1180",
"1185",
"1187",
"1191",
"1194",
"1196",
"1197",
"1199",
"1200",
"1202",
"1204",
"1207",
"1213",
"1216",
"1221",
"1225",
"1226",
"1232",
"1241",
"1245",
"1259",
"1262",
"1266",
"1270",
"1271",
"1272",
"1273",
"1274",
"1278",
"1279",
"1280",
"1281",
"1282",
"1290",
"1292",
"1298",
"1303",
"1316",
"1319",
"1320",
"1332",
"1335",
"1336",
"1337",
"1339",
"1344",
"1352",
"1359",
"1362",
"1363",
"1368",
"1370",
"1379",
"1382",
"1385",
"1389",
"1395",
]
model = CrossEncoder("cross-encoder/ms-marco-TinyBERT-L-2-v2")
eval = MTEB(
tasks=[
"SciFact",
]
)
# create fake first stage results
with open("tmp.json", "w") as f:
f.write(
json.dumps(
{
i: {
# just two random documents so we can see it works
"4983": 0.1,
"18670": 0.9,
"19238": 0.01,
}
for i in scifact_keys
}
)
)
eval.run(
model,
output_folder="tests/results",
overwrite_results=True,
eval_splits=["test"],
top_k=2,
previous_results="tmp.json",
save_predictions=True,
)
os.remove("tmp.json")
# read in the results
with open("tests/results/SciFact_default_predictions.json") as f:
results = json.load(f)
# check that only the top two results are re-orderd
assert "19238" not in results["1"]
assert "4983" in results["1"]
assert "18670" in results["1"]
def test_reranker_same_ndcg1():
de = SentenceTransformer("average_word_embeddings_komninos")
ce = CrossEncoder("cross-encoder/ms-marco-TinyBERT-L-2-v2")
eval = MTEB(tasks=["SciFact"])
eval.run(
de,
output_folder="tests/results/stage1",
overwrite_results=True,
save_predictions=True,
eval_splits=["test"],
)
eval.run(
ce,
output_folder="tests/results/stage2",
overwrite_results=True,
previous_results="tests/results/stage1/SciFact_default_predictions.json",
save_predictions=False,
eval_splits=["test"],
top_k=1, # don't allow it to rerank more than 1 so we can check for top_1 being the same
)
# read in stage 1 and stage two and check ndcg@1 is the same
with open("tests/results/stage1/SciFact.json") as f:
stage1 = json.load(f)
with open("tests/results/stage2/SciFact.json") as f:
stage2 = json.load(f)
assert (
stage1["scores"]["test"][0]["ndcg_at_1"]
== stage2["scores"]["test"][0]["ndcg_at_1"]
)