Cash and Bank Reconciliation Calculation Verification Dataset

#reconciliation calculation verification #balance adjustment validation #financial discrepancy identification #bank reconciliation #financial accounting auditing #cash balance verification

3920
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset focuses on business cash ledgers, bank statements, and outstanding items. It includes ledger and bank balances, deposits in transit, outstanding payments, unrecorded bank credits and debits, and submitted reconciliation calculations and results. Adjusted balances, balance differences, and calculation and result validity indicators support checks of adjustment arithmetic, balance calculations, and reconciliation conclusions. It is designed for numerical reasoning, financial record verification, and outcome verifier training in enterprise financial management software.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
calculation_valid	boolean	Whether the submitted adjustment arithmetic agrees with the independently calculated amounts.
cash_book_balance	number	Balance calculated from the cash ledger records before reconciliation adjustments.
verification_notes	string	Concise explanation of calculation discrepancies, balance differences, or missing source information.
cash_ledger_records	string	Cash ledger entries and balances encoded as JSON text.
verification_status	string	Overall outcome of the reconciliation verification.
adjusted_bank_balance	number	Bank statement balance adjusted for deposits in transit and outstanding payments.
adjusted_book_balance	number	Cash book balance adjusted for unrecorded bank credits and debits.
bank_statement_balance	number	Balance extracted or calculated from the bank statement before reconciliation adjustments.
bank_statement_records	string	Bank statement entries and balances encoded as JSON text.
submitted_result_valid	boolean	Whether the reported reconciliation result agrees with the independently verified adjusted balances.
submitted_reconciliation	string	The proposed reconciliation process, calculations, and reported result encoded as JSON text.
deposits_in_transit_total	number	Sum of deposits recorded in the cash ledger but not yet shown on the bank statement.
outstanding_items_records	string	Deposits in transit, outstanding payments, and other unreconciled items encoded as JSON text.
outstanding_payments_total	number	Sum of payments recorded in the cash ledger but not yet cleared by the bank.
unrecorded_bank_debits_total	number	Sum of bank charges and other bank debits not yet recorded in the cash ledger.
reconciled_balance_difference	number	Absolute difference between the independently calculated adjusted bank balance and adjusted cash book balance.
unrecorded_bank_credits_total	number	Sum of bank credits not yet recorded in the cash ledger.

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 reconciliation information does the dataset contain?: It includes cash ledger records, bank statement records, outstanding items, submitted reconciliation calculations, and fields such as book and bank balances, deposits in transit, and outstanding payments. It also provides adjusted balances, balance differences, calculation and result validity indicators, and verification notes.

How can the data be used to verify calculations?: Use the source records and outstanding items to independently calculate the adjusted bank balance and adjusted cash book balance, then compare them with the submitted calculations and result. Validity indicators and verification notes can support training or evaluation of models that detect arithmetic errors, balance mismatches, and missing information.

Which applications is the dataset suited for?: It can support enterprise financial management software, bank reconciliation automation, accounting record checks, audit assistance, and the training or evaluation of numerical reasoning models and outcome verifiers.

How can I obtain the dataset, and what are the license terms?: Check the dataset product page or the designated delivery channel for available formats and access options. The formal license terms for permitted use, commercial use, and redistribution are defined by the dataset's specific license.

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Cite this Work

@dataset{Mobiusi2026,
  title={Cash and Bank Reconciliation Calculation Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/39969bcde10d5d1290751c1214d5d495?cate=3},
  urldate={2026-10-21},
  keywords={cash bank reconciliation dataset,bank balance adjustment,cash ledger verification,outstanding item calculation,financial numerical reasoning,reconciliation result verification,financial audit data,outcome verifier training},
  version={1.0}
}

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