Download results/final_100_to_10/final_benchmark_table.json from Angshul/SparseGeometricRAG: direct link, hf CLI and curl.
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1.36 kB
| { | |
| "protocol": "Frozen P=100 geometric shortlist -> top-10 RAG ranking (HQ10 soft branch diversity lambda_D=0.1 where applicable).", | |
| "datasets": [ | |
| "SciFact", | |
| "TREC-COVID", | |
| "Quora", | |
| "MS MARCO / DL19", | |
| "HotpotQA", | |
| "NQ" | |
| ], | |
| "OURS_CPU_100_to_10": { | |
| "nDCG@10": [ | |
| 0.5685, | |
| 0.599, | |
| 0.7366, | |
| 0.34, | |
| 0.467, | |
| 0.2579 | |
| ], | |
| "MRR@10": [ | |
| 0.5452, | |
| 0.8252, | |
| 0.7287, | |
| 0.5189, | |
| 0.6255, | |
| 0.2262 | |
| ], | |
| "P@10": [ | |
| 0.0737, | |
| 0.652, | |
| 0.1124, | |
| 0.2674, | |
| 0.0964, | |
| 0.0462 | |
| ], | |
| "R@10": [ | |
| 0.6663, | |
| 0.0163, | |
| 0.8407, | |
| 0.0916, | |
| 0.482, | |
| 0.3983 | |
| ], | |
| "Hit@10": [ | |
| 0.6833, | |
| 1.0, | |
| 0.8904, | |
| 0.7209, | |
| 0.7507, | |
| 0.4342 | |
| ], | |
| "median_ms": [ | |
| 0.947, | |
| 1.051, | |
| 120.301, | |
| 65.195, | |
| 28.944, | |
| 33.686 | |
| ], | |
| "p95_ms": [ | |
| 1.031, | |
| 1.193, | |
| 175.494, | |
| 142.647, | |
| 42.568, | |
| 44.161 | |
| ] | |
| }, | |
| "notes": [ | |
| "The six-dataset benchmark row is the frozen 100->10 operating point.", | |
| "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.", | |
| "MS MARCO / DL19 is the 43-query TREC-DL19 run over the full 8.84M-passage corpus." | |
| ] | |
| } | |