Accounts Payable Three-Way Match and Payment Consistency Evaluation Dataset

#three-way matching verification #payment consistency validation #financial discrepancy detection #accounts payable auditing #three-way invoice matching #payment reconciliation

3125
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-25

AI Analysis & Value Prop

This dataset provides JSON records for purchase orders, goods receipts, supplier invoices, and payments, together with expected match outcomes, discrepancies, and evaluation summaries. Scenarios cover cross-record conflicts in quantities, amounts, supplier details, and document references, enabling evaluation of consistency checks in accounts payable workflows and supporting financial software testing and model evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
match_passed	boolean	Expected overall result indicating whether the records pass the defined three-way matching and payment consistency checks.
discrepancies	array	Ground-truth conflicts expected to be identified across the supplied records.
goods_receipt	object	Source goods receipt record provided as a JSON object.
payment_record	object	Source payment record provided as a JSON object.
purchase_order	object	Source purchase order record provided as a JSON object.
supplier_invoice	object	Source supplier invoice record provided as a JSON object.
evaluation_summary	string	Concise ground-truth summary of the expected consistency-check outcome.

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 records does the dataset contain?: Each sample includes a purchase order, goods receipt, supplier invoice, and payment record, along with the expected match result, discrepancies to identify, and an evaluation summary. These references support comparison with model or software outputs.

Which types of inconsistencies are covered?: Scenarios include cross-record conflicts involving quantities, amounts, supplier details, and document references. They can be used to test three-way matching and payment consistency checks; the exact evaluation scope depends on the samples and accompanying documentation.

Which tasks is the dataset suitable for?: It supports accounts payable automation, invoice review, purchase order and goods receipt reconciliation, cross-document discrepancy detection, and consistency-check evaluation for financial software or models.

How can the data be obtained and used?: The records are organized as JSON. Refer to the provider's delivery documentation and license terms for access methods, usage conditions, and permitted scope. Before production use, verify that the field definitions and business rules fit your workflow.

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Cite this Work

@dataset{Mobiusi2026,
  title={Accounts Payable Three-Way Match and Payment Consistency Evaluation Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/fdb37f3bc0906cd7ac5d3d8cbd42cfbd},
  urldate={2026-10-21},
  keywords={accounts payable dataset,three-way matching,purchase order verification,goods receipt validation,supplier invoice checking,payment consistency,financial data evaluation,cross-document discrepancy detection},
  version={1.0}
}

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