Procurement Spend Analysis Text-to-SQL Dataset

#Text-to-SQL #SQL generation #Schema matching #Aggregation queries #Procurement spend analysis #Supplier analysis #Cost center management

5640
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset pairs natural-language questions about procurement and spend analysis with relevant database schema context and SQL queries. Its analytical dimensions include suppliers, procurement categories, cost centers, time, and currencies, illustrating how business requests map to tables, columns, filters, and aggregation logic. It supports training and evaluation of text-to-SQL systems and SQL agents for procurement analytics and database tool use.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
sql_query	string	The SQL statement that answers the natural-language question using the provided database schema context.
database_schema_context	string	A JSON-formatted description of relevant spend records, dimension tables, columns, and relationships available to answer the question.
natural_language_question	string	The procurement or spend analytics request expressed in natural language.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: Each sample includes a natural-language procurement or spend analytics question, relevant database schema context, and an SQL query that answers the question using that schema. Topics include suppliers, procurement categories, cost centers, time, and currencies.

What is the dataset size and field coverage?: The provided schema defines three fields: a natural-language question, database schema context, and an SQL query. It also describes common analytical dimensions, but the sample count and complete table and column coverage are not specified here; consult the actual data package for details.

Which training and evaluation tasks does it support?: The dataset supports text-to-SQL, SQL query generation, schema and column matching, and generation of filtering and aggregation logic. It can be used to train or evaluate SQL agents for procurement and spend management workflows.

How can I obtain the dataset, and what are the licensing terms?: Please consult the product page or delivery documentation for access instructions, file format, and licensing terms. Before use, verify the permitted scope, commercial usage rights, and any data handling requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={Procurement Spend Analysis Text-to-SQL Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/f6656b42a02f83c536ebc30e47f45163},
  urldate={2026-10-26},
  keywords={procurement spend dataset,text-to-SQL dataset,procurement SQL training data,spend management data,SQL agent training,natural language to SQL,supplier spend analysis,procurement data queries},
  version={1.0}
}

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