| { |
| "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." |
| } |
| } |
