ERP Inventory and Order Temporal SQL Query Dataset

#SQL query generation #temporal condition reasoning #inventory and order data retrieval #ERP inventory management #order history analysis #enterprise database querying

3400
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset covers business queries for enterprise resource planning (ERP) inventory and order management, including changes over time in stock levels, reserved quantities, batch details, and order statuses. Each example provides the relevant source-table schema and reference SQL, with a focus on time boundaries, historical point-in-time references, and status conditions. It supports training SQL agents to translate business questions into structurally accurate queries with appropriate temporal logic for inventory checks and order tracking.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
query_intent	string	A concise classification of the business objective, such as checking available stock or tracking order status.
reference_sql	string	The reference SQL query associated with the business question.
business_question	string	The natural-language ERP inventory or order-management question to be answered.
source_schema_sql	string	SQL DDL defining the source tables, columns, and relationships relevant to the question.
temporal_logic_summary	string	A summary of the time boundaries, historical reference points, and time-dependent conditions used by the query.

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 example is built around an ERP inventory or order-management question and includes the natural-language question, relevant source-table SQL schema, reference SQL, query intent, and a temporal logic summary. Topics include changes over time in stock levels, reserved quantities, batches, and order statuses.

How does the dataset support temporal SQL training?: Examples cover time boundaries, historical reference points, and conditions that depend on changes over time. They can help models identify temporal constraints in business questions and generate corresponding SQL queries. Reference SQL provides a comparison target for generated results.

How can I obtain the dataset, and what are the license terms?: Use the download or delivery method listed on the product page. The permitted scope, restrictions, and commercial-use terms are governed by the dataset listing or accompanying license. If these terms are not specified, confirm them with the provider before use.

What applications is this dataset suited for?: It is suited to ERP inventory checks, order status tracking, batch queries, and historical point-in-time analysis. It can also be used for natural-language-to-SQL development, SQL agent training, and evaluation of related query capabilities.

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Cite this Work

@dataset{Mobiusi2026,
  title={ERP Inventory and Order Temporal SQL Query Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/74f8e21f770d0dc23656333ba72fd585},
  urldate={2026-10-21},
  keywords={ERP inventory SQL,order management SQL,temporal query dataset,SQL generation training,SQL agent training,historical inventory queries,order status queries,database question answering},
  version={1.0}
}

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