File size: 2,924 Bytes
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"dataset": "TREC Deep Learning 2019 Passage / MS MARCO v1 passage corpus",
"corpus_size": 8841823,
"queries": 43,
"ours": {
"source": "local frozen implementation; TRAIN-fold selected parameters; no post-test tuning",
"ndcg10_trec_eval_linear_gain": 0.35912864519537124,
"mrr10_binary_rel_ge_2": 0.5196382428940569,
"p10_binary_rel_ge_2": 0.28837209302325584,
"r100_binary_rel_ge_2": 0.32448471642019855,
"r1000_binary_rel_ge_2": 0.5097617112453317,
"route_recall_macro_binary_rel_ge_2": 0.7011717028045845,
"pool2000_recall_macro_binary_rel_ge_2": 0.5414967376369709,
"median_ms_local_warm": 86.52526099831448,
"p95_ms_local_warm": 163.08966510223397,
"avg_routed_docs": 86049.18604651163,
"deployable_index_bytes": 2629229405
},
"local_same_tokenizer_bm25_sanity": {
"note": "Effectiveness-only streaming full-corpus scan; NOT an indexed query-latency measurement. Lowercase regex tokenizer, no stemming, k1=.9 b=.4.",
"ndcg10_trec_eval_linear_gain": 0.4845300219597866,
"mrr10_binary_rel_ge_2": 0.6200535252860835,
"p10_binary_rel_ge_2": 0.38372093023255816,
"r100_binary_rel_ge_2": 0.465414572538343,
"full_corpus_parallel_scan_seconds": 321.1634156703949
},
"published_same_test": [
{
"method": "BM25 default",
"index": "Lucene/Anserini sparse",
"ndcg10": 0.5058,
"r1000": 0.7501,
"p10": 0.4116,
"rr_nist": 0.7036
},
{
"method": "BM25 + RM3",
"index": "Lucene/Anserini sparse",
"ndcg10": 0.518,
"r1000": 0.7998,
"p10": 0.4372,
"rr_nist": 0.6683
},
{
"method": "BM25 + PRF default",
"index": "traditional sparse",
"ndcg10": 0.5372
},
{
"method": "BM25 + PRF tuned",
"index": "traditional sparse",
"ndcg10": 0.5536
},
{
"method": "ANCE",
"index": "FAISS Flat",
"ndcg10": 0.6452,
"r1000": 0.7554
},
{
"method": "BGE-base-en-v1.5",
"index": "FAISS Flat float32",
"ndcg10": 0.7016,
"r1000": 0.8427
},
{
"method": "BGE-base-en-v1.5",
"index": "Lucene HNSW",
"ndcg10": 0.7016,
"r1000": 0.8441
},
{
"method": "BGE-base-en-v1.5",
"index": "Lucene HNSW int8",
"ndcg10": 0.7017,
"r1000": 0.8436
},
{
"method": "TCT-ColBERT-V2-HN+",
"index": "FAISS Flat",
"ndcg10": 0.7204,
"r1000": 0.8261
},
{
"method": "OPQIVFPQ SiamBERT",
"index": "FAISS OPQ-IVF-PQ, 256 B/doc",
"ndcg10": 0.613,
"r1000": 0.675,
"note": "different encoder; not apples-to-apples with BGE"
}
],
"metric_notes": {
"ndcg": "trec_eval ndcg_cut uses raw qrel grade as gain; official TREC-DL19 comparison uses graded judgments.",
"binary": "NIST passage grade 1 is Related but NOT relevant; binary metrics use grades >=2."
}
} |