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message: "If you use SCM-SQL in your research, please cite it as below."
title: "SCM-SQL: A Supply-Chain Natural-Language-to-SQL Evaluation Set"
authors:
- family-names: Kawarase
given-names: Aniruddha Prakash
orcid: null
version: "1.0.0"
date-released: "2026-07-30"
url: "https://huggingface.co/datasets/AniruddhaAI/scm-sql"
repository-code: "https://github.com/AniruddhaPKawarase/scm-sql-dataset"
license: CC-BY-SA-4.0
type: dataset
keywords:
- text-to-sql
- nl-to-sql
- supply-chain
- domain-specific-benchmark
- multi-turn-dialogue
- erp
- odoo
abstract: >
SCM-SQL is a 500-pair evaluation set for natural-language-to-SQL systems,
authored against the live Odoo 17 supply-chain schema. It spans six
explicit complexity levels including 50 multi-turn refinement
dialogues, four supply-chain sub-domain tags (demand, finance,
inventory, logistics), and 556 turn-level trials in total. Every gold
SQL is execute-verified against a stock Odoo 17 demo database. Built
for the dissertation "Domain-Aware Multi-Agent NL-to-SQL for
Enterprise Supply Chain Intelligence" (BITS Pilani WILP, 2026) and
released so other researchers can benchmark domain-aware text-to-SQL
systems on realistic enterprise-ERP queries.
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