Payroll and Overtime Constraint Verification Dataset

#Constraint Verification #Payroll Calculation Validation #Calculation Difference Analysis #RLVR Reward Evaluation #Payroll Processing #Overtime Pay Auditing #HR Rule Verification #Payroll Automation

5880
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

Each JSON record captures a payroll period, regular and overtime hours, pay components, and the applicable human-resources rule version, alongside a candidate calculation, an independently computed result, and individual constraint checks. The records support training and evaluating models that verify payroll and overtime calculations against stated rules, with deterministic checks providing auditable reward signals. They are suited to human capital management, payroll automation, and research on reinforcement learning with verifiable rewards.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
is_valid	boolean	Whether all required payroll and overtime constraints pass within the configured comparison tolerance.
pay_period	object	The date range and payroll frequency associated with the record.
work_hours	object	Recorded regular, overtime, and total hours for the payroll period.
reward_score	number	The deterministic reward assigned to the verification result, typically one for a valid calculation and zero otherwise.
overtime_rule	object	The applicable human-resources rule version and parameters for overtime pay.
pay_components	object	Source rates and other amounts used in the candidate payroll calculation.
constraint_checks	object	Individual deterministic checks comparing the recorded data and candidate results with the applicable payroll constraints.
expected_calculation	object	Payroll amounts independently computed from the source inputs and overtime rule.
candidate_calculation	object	The proposed monetary results to be checked against the recorded hours, pay components, and applicable rule.
calculation_differences	object	Signed differences between candidate and independently computed amounts, expressed in the record currency.

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?: Each record covers a payroll period, regular and overtime hours, pay components, the applicable overtime rule, candidate and expected calculations, constraint checks, calculation differences, overall validity, and a reward score.

How can a candidate payroll calculation be verified?: Compare the candidate calculation with the record's inputs, applicable rule, and independently computed result. Review the individual constraint checks, monetary differences, and overall validity. Use the rule parameters and comparison tolerance specified in each record.

Which training and evaluation tasks does it support?: It supports payroll and overtime calculation verification, rule-compliance evaluation, constraint checking, and reinforcement learning with verifiable rewards (RLVR). Confirm that the rules used in the records match the intended business context.

How can I obtain the data, and what are the license terms?: Check the dataset product page or the supplier's designated channel for access details. Before use, review the applicable license, permitted uses, and redistribution restrictions. Specific access methods and license terms are not provided here.

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Cite this Work

@dataset{Mobiusi2026,
  title={Payroll and Overtime Constraint Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e67bae2b68a615895ee3587e11080f22?dataset_scene_id=3},
  urldate={2026-10-26},
  keywords={payroll calculation dataset,overtime pay verification,payroll constraint checks,wage calculation validation,HR rules data,RLVR training data,verifiable reward reinforcement learning,payroll automation},
  version={1.0}
}

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