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Angshul
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SparseGeometricRAG

Languages:
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Tags:
information-retrieval
retrieval-augmented-generation
rag
sparse-retrieval
cpu
low-latency
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  1. manifests/msmarco_manifest.json +262 -0
  2. results/BENCHMARK_LEDGER.json +221 -0
  3. results/beir/p100_full_benchmark_summary.json +113 -0
  4. results/beir/rag_top10_pool_sweep_scifact_treccovid.json +229 -0
  5. results/beir/scifact_p100_sweep_result.json +44 -0
  6. results/beir/scifact_p200_sweep_result.json +44 -0
  7. results/beir/scifact_p25_sweep_result.json +44 -0
  8. results/beir/scifact_p500_sweep_result.json +44 -0
  9. results/beir/scifact_p50_sweep_result.json +44 -0
  10. results/beir/scifact_softdiv_results.json +167 -0
  11. results/beir/treccovid_collision_diagnostic.json +0 -0
  12. results/beir/treccovid_full_benchmark_diversity.json +328 -0
  13. results/beir/treccovid_hq_branch_benchmark.json +70 -0
  14. results/beir/treccovid_idf_power_2_3_4.json +98 -0
  15. results/beir/treccovid_local_baselines.json +29 -0
  16. results/beir/treccovid_p100_sweep_result.json +44 -0
  17. results/beir/treccovid_p200_sweep_result.json +44 -0
  18. results/beir/treccovid_p25_sweep_result.json +44 -0
  19. results/beir/treccovid_p500_sweep_result.json +44 -0
  20. results/beir/treccovid_p50_sweep_result.json +44 -0
  21. results/final_100_to_10/RAG_TOP10_P_SWEEP_DL19.json +112 -0
  22. results/final_100_to_10/final_benchmark_table.json +74 -0
  23. results/final_100_to_10/hotpotqa_RAG_TOP10_P_SWEEP.json +87 -0
  24. results/final_100_to_10/hotpotqa_two_optimizations_merged.json +0 -0
  25. results/final_100_to_10/nq_RAG_TOP10_P_SWEEP.json +87 -0
  26. results/final_100_to_10/nq_two_optimizations_merged.json +0 -0
  27. results/final_100_to_10/p100_full_benchmark_summary.json +113 -0
  28. results/final_100_to_10/quora_msmarco_top10_results.json +168 -0
  29. results/final_100_to_10/rag_top10_pool_sweep_scifact_treccovid.json +229 -0
  30. results/msmarco_scale/FINAL_LOCK.json +25 -0
  31. results/msmarco_scale/FINAL_TEST_ONCE_results.json +41 -0
  32. results/msmarco_scale/FINAL_TEST_TREC_CORRECTED_WITH_R1K.json +45 -0
  33. results/msmarco_scale/amplitude_diagnostic_results.json +624 -0
  34. results/msmarco_scale/best_all_dev_results.json +31 -0
  35. results/msmarco_scale/best_tail_dev_results.json +26 -0
  36. results/msmarco_scale/best_tail_validation.json +123 -0
  37. results/msmarco_scale/branch_coherence_multifold.json +638 -0
  38. results/msmarco_scale/early_lex_dev_results.json +47 -0
  39. results/msmarco_scale/early_lex_direct_validation.json +106 -0
  40. results/msmarco_scale/early_lex_quota_validation.json +142 -0
  41. results/msmarco_scale/early_lex_validation.json +265 -0
  42. results/msmarco_scale/final_weight_sweep.json +546 -0
  43. results/msmarco_scale/finish_final_weights_multifold.json +1662 -0
  44. results/msmarco_scale/finish_length_coord_multifold.json +1731 -0
  45. results/msmarco_scale/finish_rare_final_multifold.json +1386 -0
  46. results/msmarco_scale/finish_train_selected.json +226 -0
  47. results/msmarco_scale/full_msmarco_dev_fast_results.json +40 -0
  48. results/msmarco_scale/full_msmarco_uniform1m_results.json +173 -0
  49. results/msmarco_scale/gamma_lambda_pool_diag.json +145 -0
  50. results/msmarco_scale/idf2_best_dev_results.json +37 -0
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+ ]
68
+ },
69
+ "notes": [
70
+ "The six-dataset benchmark row is the frozen 100->10 operating point.",
71
+ "The postbenchmark final_two_optimizations branch is preserved separately because it changes some NQ/Hotpot values and is not the source of the frozen table.",
72
+ "MS MARCO / DL19 is the 43-query TREC-DL19 run over the full 8.84M-passage corpus."
73
+ ]
74
+ }
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The diff for this file is too large to render. See raw diff
 
results/final_100_to_10/nq_RAG_TOP10_P_SWEEP.json ADDED
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results/final_100_to_10/nq_two_optimizations_merged.json ADDED
The diff for this file is too large to render. See raw diff
 
results/final_100_to_10/p100_full_benchmark_summary.json ADDED
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1
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+ }
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results/final_100_to_10/rag_top10_pool_sweep_scifact_treccovid.json ADDED
@@ -0,0 +1,229 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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results/msmarco_scale/FINAL_LOCK.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "protocol": "Final architecture lock after five disjoint 1000-query TRAIN folds. A parameter change is accepted only when it improves nDCG@10 on all five folds; DEV and TEST are not used for this final lock.",
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+ "frozen_params": {
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+ "remaining_train_sweeps": {
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+ "length_coordination": "No change. Current b=0.1, alpha=0.25 had the highest five-fold mean nDCG@10 (0.1616578464).",
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+ "final_weights": "No change. w_sem=0.5 increased mean by 0.00024547 but improved only 3/5 folds and had worst-fold delta -0.00036559; rejected.",
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+ "rare_weight": "No change. top3 weight 1.25 increased mean by 0.00017519 but improved only 3/5 folds and had worst-fold delta -0.00024270; rejected."
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+ },
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+ "test_policy": "test.tsv evaluated once after this lock; no post-test tuning."
25
+ }
results/msmarco_scale/FINAL_TEST_ONCE_results.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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41
+ }
results/msmarco_scale/FINAL_TEST_TREC_CORRECTED_WITH_R1K.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "protocol": "FINAL TEST ONCE after TRAIN-only five-fold lock; no test tuning",
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+ "note": "nDCG@10 uses linear graded gain, matching trec_eval/BEIR convention; exponential-gain value retained only as diagnostic."
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+ }
results/msmarco_scale/amplitude_diagnostic_results.json ADDED
@@ -0,0 +1,624 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "protocol": "same fixed eta=1 P=2000 pools from deterministic 1000 TRAIN validation; raw corpus reread only to reconstruct exact amplitudes; no candidate-generation changes",
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+ "rows": [
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+ {
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