Datasets:
Synthetic RAG Benchmark Report
- Generated at:
2026-03-06T15:45:57.457782+00:00 - Seed:
1337 - Corpus docs:
1500 - Queries:
300 - Auto-tune:
True - Retrieval config:
{'step_k_ratio': 0.06, 'min_step_k': 20, 'min_match_ratio': 0.7, 'final_match_ratio': 0.65, 'noise_weight': 0.01, 'ensemble_top_k': 2, 'ensemble_vote_threshold': 0.4}
Aggregate Metrics
| Method | Avg Precision | Avg Recall | Avg F1 | Exact Match Rate |
|---|---|---|---|---|
| naive | 0.5161 | 0.6567 | 0.4254 | 0.1167 |
| instructed | 1.0000 | 0.3849 | 0.4627 | 0.2333 |
| verified_structural | 1.0000 | 0.3849 | 0.4627 | 0.2333 |
| verified_structural_ensemble | 1.0000 | 0.4590 | 0.5268 | 0.3333 |
| verified_consensus | 1.0000 | 0.4372 | 0.5026 | 0.3167 |
Notes
naive: single partition[n].instructed: heuristic partition[n-1, 1]forn > 1.verified_structural: non-oracle structural scorer (balance + step penalty + chunking heuristics).verified_structural_ensemble: non-oracle vote across top structural partitions.verified_consensus: non-oracle self-consistency scorer (retrieval stability + structure + match density).
No theorem discharge is claimed by this benchmark.