MOBIUSI INCThis evaluation dataset organizes related enterprise resource planning (ERP) order, shipment, invoice, and payment records in JSON, together with cross-module relationship and state constraints. It also provides expected inconsistencies and a consistency summary, enabling evaluation of a model's ability to detect missing records, conflicting information, and mismatched relationships. It is suitable for ERP data quality validation, business process audits, and automated evaluation of consistency-checking models.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| transaction_records | object | Source ERP records grouped by module. Empty or absent module collections may indicate missing records. |
| consistency_constraints | array | Rules defining required relationships and state constraints across ERP modules. |
| expected_inconsistencies | array | Gold-standard discrepancies an evaluator should identify from the records and constraints. |
| gold_consistency_summary | object | A benchmark summary derived from the expected inconsistency labels. |
Trust
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
FAQ
Post a request and let data providers reach out to you.
High-quality data, ready for your next AI breakthrough.
@dataset{Mobiusi2026,
title={ERP Cross-Module Transaction Consistency Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/264b9778b8b2f22b8b15f30631486de0?dataset_task_cate_id=2},
urldate={2026-10-21},
keywords={ERP consistency evaluation,cross-module transaction data,order shipment invoice payment,ERP anomaly detection,consistency checking dataset,enterprise data quality,transaction record validation,automated model evaluation},
version={1.0}
}Using this in research? Please cite us.