cff-version: 1.2.0
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.