{
  "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."
  }
}