ERP Cross-Module Transaction Consistency Evaluation Dataset

#transaction inconsistency detection #cross-module record matching #data consistency validation #ERP transaction auditing #cross-module data reconciliation #enterprise financial operations

6000
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This 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.

Dataset Insights

Sample Examples

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Technical Specifications

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.

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?: The JSON data includes ERP transaction records grouped by module, cross-module consistency constraints, expected inconsistencies, and a consistency summary derived from the labels. The example business records cover orders, shipments, invoices, and payments.

What model capabilities can it evaluate?: It can assess whether a model uses relationship rules and state constraints to identify missing records, cross-module conflicts, incorrect transaction links, and other expected inconsistencies. It can also support regression testing and comparison of consistency-checking workflows.

What format is the dataset provided in?: The dataset uses structured JSON with fields for transaction records, constraint rules, gold-standard inconsistencies, and a consistency summary. Refer to the product page or sample data for record counts, field value ranges, and delivery specifications.

How can I access the dataset, and what are the licensing terms?: Check the product page for available access methods, deliverables, and licensing terms. Before use, confirm that the license covers your intended project, internal evaluation, or commercial application.

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Cite this Work

@dataset{Mobiusi2026,
  title={ERP Cross-Module Transaction Consistency Evaluation Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/264b9778b8b2f22b8b15f30631486de0},
  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}
}

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