| # SCM-SQL — Dataset Statistics |
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|
| Snapshot as of the 1.0 release (2026-07-30). |
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| ## Totals |
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| - **Pairs**: 500 |
| - **Turn-level trials**: 556 (L6 pairs are multi-turn) |
| - **Complexity levels**: 6 (L1 → L6) |
| - **Domains**: 4 (demand, finance, inventory, logistics) |
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|
| ## Per-level distribution |
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|
| | Level | Style | Pairs | Turn-level trials | |
| |-------|-------|-------|-------------------| |
| | L1 | Single-table filter / aggregate | 100 | 100 | |
| | L2 | Two-table JOIN + GROUP BY | 100 | 100 | |
| | L3 | Nested subquery / semi-join / 3-table join | 130 | 130 | |
| | L4 | Window function | 60 | 60 | |
| | L5 | CTE + rollup | 60 | 60 | |
| | L6 | Multi-turn refinement (2-3 turns each) | 50 | 106 | |
| | **Total** | | **500** | **556** | |
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|
| ## Per-domain coverage |
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|
| A single pair can carry multiple domain tags — cross-domain pairs |
| (especially L3 and L6) count in every domain they touch. |
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|
| | Domain | Approx. pairs tagged | |
| |--------|----------------------| |
| | demand | ~ 145 | |
| | finance | ~ 140 | |
| | inventory | ~ 130 | |
| | logistics | ~ 130 | |
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|
| ## Provenance |
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|
| | Bucket | Count | How it was authored | |
| |--------|-------|---------------------| |
| | Hand-crafted core | 100 | Author-written (NL + gold SQL) covering the queries a supply-chain analyst asks in practice | |
| | LLM-generated (execute-verified) | 400 | Generated by gpt-4o-mini from few-shots of the hand-crafted core; every candidate must (a) parse via sqlglot, (b) execute against the Odoo demo, and (c) return a non-empty non-null result set before acceptance | |
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| ## Reference-implementation performance on this dataset |
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|
| Numbers below are for reference only — they are what the *reference* |
| multi-agent NL-to-SQL pipeline at |
| [github.com/AniruddhaPKawarase/scm-nl2sql](https://github.com/AniruddhaPKawarase/scm-nl2sql) |
| achieves on SCM-SQL. Your system will produce different numbers. |
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| | Metric | Ours (gpt-4o-mini backbone) | MAC-SQL comparator (same backbone) | |
| |--------|-----------------------------|-------------------------------------| |
| | Execution Accuracy (EX) | 11.5 % | 10.1 % | |
| | Soft-EX | 11.9 % | 10.1 % | |
| | 95 % bootstrap CI (EX) | [8.8 %, 14.4 %] | [7.7 %, 12.8 %] | |
| | Wilcoxon signed-rank p | 0.325 | — | |
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| **Interpretation**: the aggregate execution accuracy is intentionally |
| low. SCM-SQL is a hard benchmark by construction — 498-table Odoo |
| schema, JSONB translated-name fields, multi-turn dialogues, |
| multi-domain composition. This is a feature, not a bug: a benchmark you |
| never fail is not testing you. |
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