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Download results/before_after_table.md from laterabhi/SQL-Query-Env: direct link, hf CLI and curl.
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734 Bytes
Before / after — execution-grounded reward
| Task | Difficulty | Before (no SQL) | After (fallback) | Δ |
|---|---|---|---|---|
| Basic SQL Anti-pattern Detection | easy | 0.4500 | 0.8300 | +0.3800 |
| N+1 Correlated Subquery Elimination | medium | 0.4500 | 0.6900 | +0.2400 |
| Wildcard LIKE & Projection Optimization | medium-hard | 0.4500 | 0.6900 | +0.2400 |
| Implicit Cross Join & Scalar Subquery El | hard | 0.4500 | 0.6900 | +0.2400 |
| Window Function & Full-Scan Audit | expert | 0.4500 | 0.7500 | +0.3000 |
Mean before: 0.4500
Mean after: 0.7300
Mean Δ: +0.2800
Before = non-empty suggestions but optimized_query empty — no speedup/correctness signal.