Procurement Invoice Arithmetic Verification Dataset
- Records
- 7400
- Size
- 0.5GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
Contains procurement invoice transaction records, claimed amounts to verify, and arithmetic correctness labels covering quantity-times-unit-price calculations, line-item subtotals, discounts, taxes, shipping, and total due. By comparing claimed amounts with derived results and labeling overall correctness and error types, the data supports training and evaluating invoice calculation verifiers. Typical applications include invoice review, payment reconciliation, and financial automation in procurement and spend management.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| error_types | array | Unique arithmetic error classifications found in the invoice; an empty array indicates no errors. |
| invoice_checks | array | Derived comparisons for subtotal, discount, tax, and total due. |
| invoice_record | object | Raw invoice data, including line items, calculation inputs, and the amounts to be verified. |
| line_item_checks | array | Derived per-line comparisons of the claimed amount with quantity multiplied by unit price. |
| computed_subtotal | number | Sum of the expected line amounts, before discount, tax, and shipping. |
| computed_total_due | number | Computed subtotal minus computed discount plus computed tax and shipping amount. |
| overall_is_correct | boolean | Whether every line-item check and every invoice-level amount check is correct. |
| computed_tax_amount | number | Tax calculated from the pre-discount or post-discount taxable base specified in the raw invoice record, rounded to the currency's minor unit. |
| computed_discount_amount | number | Discount calculated as a percentage of the computed subtotal or as a fixed amount, capped at the subtotal and rounded to the currency's minor unit. |
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 invoice calculations does the dataset cover?
- Samples include raw invoice records and claimed amounts to verify. They cover line-item quantity multiplied by unit price, line-item aggregation, discounts, taxes, and total due, with corresponding amount checks.
- How can I determine whether an invoice calculation is correct?
- Each claimed amount is compared with a value derived from the invoice record, across both line-item and invoice-level checks. The overall_is_correct field indicates whether all checks pass, while error_types lists the arithmetic error classifications found.
- Which model tasks and business workflows is it suitable for?
- The data is suitable for training or evaluating calculation outcome verifiers and for workflows such as procurement invoice review, expense calculation, payment reconciliation, and financial automation. Apply appropriate business rules for currency rounding and tax treatment.
- How can I obtain the dataset, and what are the licensing terms?
- Refer to the current product listing for delivery options, license scope, and terms of use. Confirm any commercial use, redistribution, or other permissions with the data provider if they are not explicitly stated.
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Cite this Work
@dataset{Mobiusi2026,
title={Procurement Invoice Arithmetic Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/f32805bfa04ecc9c8aa77bb85e27712f?dataset_scene_id=3},
urldate={2026-10-26},
keywords={procurement invoice dataset,invoice arithmetic verification,invoice amount reconciliation,procurement expense calculation,line item calculation checks,tax and discount validation,total due calculation,outcome verifier training},
version={1.0}
}Using this in research? Please cite us.