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
Records
6000
Size
0.5GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
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.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
transaction_recordsobjectSource ERP records grouped by module. Empty or absent module collections may indicate missing records.
consistency_constraintsarrayRules defining required relationships and state constraints across ERP modules.
expected_inconsistenciesarrayGold-standard discrepancies an evaluator should identify from the records and constraints.
gold_consistency_summaryobjectA benchmark summary derived from the expected inconsistency labels.

Trust

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

FAQ

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?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}
}

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