HR Datasets

**These datasets are for educational purposes only. Any misuse for illegal or unethical activities is strictly prohibited. All generated data is fictional and has no real-world validity.

Features

Realistic employee data for HR analytics and workforce planning
Structured datasets covering employee records, payroll, and performance
Useful for HR software testing, AI development, and workforce studies
Available in CSV and Excel formats

Available Datasets

1. Employee Information Dataset

Contains essential details about employees, including personal and employment information.

Employee ID	First Name	Last Name	Full Name	Age	Gender	Date of Birth	Contact Number	Email	Position	Department	Hire Date	Employee Type	Work Location	Manager ID	Employment Status
EMP1005	Amit	Sharma	Amit Sharma	29	Male	1995-01-18	+91-9876543210	amit.sharma@company.com	Software Engineer	Technology	2022-03-01	Full-time	Bangalore	EMP1001	Active

2. Payroll Dataset

Includes salary details, tax deductions, and payment information.

Employee ID	Base Salary	Bonus	Stock Options	Tax Withheld	Health Insurance Premium	Retirement Contribution	Pay Date	Payment Method	Currency	Overtime Hours	Overtime Pay
EMP1005	85000	5000	1000	14500	3000	4000	2024-03-31	Direct Deposit	INR	6	2400

3. Job History Dataset

Details past employment records, job titles, and industries.

Employee ID	Previous Job Title	Previous Company	Industry	Years of Experience	Start Date	End Date	Reason for Leaving	Job Location	Manager's Name
EMP1005	Junior Developer	TechNova Pvt Ltd	IT Services	3	2019-01-10	2022-01-30	Career Advancement	Pune	Ravi Mehta

4. Attendance Dataset

Tracks employee attendance, working hours, and leave types.

Employee ID	Date	Status	Time In	Time Out	Hours Worked	Late Arrival	Leave Type	Notes
EMP1005	2024-03-14	Present	09:08	18:05	8.9	No	--	Attended daily standup remotely

5. Emergency Contacts Dataset

Lists emergency contacts for employees.

Employee ID	Emergency Contact Name	Relationship	Emergency Contact Phone	Alternate Contact Number	Email	Address	Is Primary Contact	Notes
EMP1005	Priya Sharma	Sister	+91-9870011223	+91-8870011223	priya.sharma@email.com	Flat 5B, Orchid Enclave, Delhi	Yes	Available during working hours

6. Leave Requests Dataset

Contains employee leave requests, approvals, and reasons.

Employee ID	Leave Type	Leave Start Date	Leave End Date	Leave Duration (Days)	Leave Status	Leave Request Date	Manager ID	Reason for Leave
EMP1005	Sick Leave	2024-02-05	2024-02-07	3	Approved	2024-02-04	EMP1001	Fever and doctor's recommendation

7. Training and Certifications Dataset

Details employee training programs and certifications.

Employee ID	Training Program	Certifying Organization	Certification Date	Expiration Date	Certification Level	Completion Status	Training Hours
EMP1005	Advanced Python Programming	Coursera	2023-10-12	2026-10-12	Intermediate	Completed	25

8. Performance Reviews Dataset

Includes employee performance ratings, feedback, and promotions.

Employee ID	Review Period Start	Review Period End	Manager ID	Performance Rating	Strengths	Areas for Improvement	Feedback	Promoted	Salary Increase (%)	Bonus Awarded
EMP1005	2023-01-01	2023-12-31	EMP1001	4.5	Problem Solving, Clean Code	Time Estimation	Excellent contributions in backend systems.	Yes	8	4500

9. Health and Safety Records Dataset

Tracks workplace incidents and safety measures.

Employee ID	Incident Date	Incident Type	Severity	Incident Description	Action Taken	Follow-up Required	Responsible Person
EMP1005	2023-08-04	Minor Electrical Shock	Low	Shock from exposed wire at workstation	Wire replaced, area secured	No	Facilities Manager

What are HR datasets?

HR datasets contain structured data related to human resources functions such as hiring, employee demographics, performance, attendance, training, and attrition. These datasets help in analyzing workforce trends and improving HR decision-making.

What types of information are typically included in HR datasets?

HR datasets may include:

Employee ID, name, department, and role
Hiring date, contract type, and salary
Education level and years of experience
Performance ratings and training history
Absenteeism, promotions, and resignations

How is data used in modern human resource management?

Data helps HR teams make informed decisions about recruitment, retention, workforce planning, diversity, resource management and employee engagement. Predictive analytics can identify flight risks, optimize hiring pipelines, and improve workplace satisfaction.

What is the role of datasets in resume screening and ATS systems?

Many HR departments use Applicant Tracking Systems (ATS) to parse and evaluate resumes. Datasets that simulate resume data can be used to train machine learning models for keyword matching, candidate scoring, and automated shortlisting.

Can I simulate hiring decisions using HR datasets?

Yes, with these datasets, you can simulate filtering resumes, ranking candidates based on skills or experience, and assessing recruitment funnel efficiency—all using Excel, Python, or BI tools.

How can HR analytics improve employee retention?

By analyzing patterns in employee turnover, job satisfaction, and promotion history, HR professionals can proactively identify at-risk employees and develop retention strategies. Data-driven insights lead to better workplace culture and reduced churn.

Are the HR datasets based on real employee data?

No, all datasets are synthetically generated to reflect realistic HR scenarios without using any personal or confidential data. They’re designed for safe practice and experimentation.

Can these datasets help in understanding diversity and inclusion?

Yes. You can use the data to explore representation across departments, gender pay gaps, promotion patterns, and more—enabling analysis aligned with diversity and inclusion goals.

How do HR datasets support workforce planning?

By analyzing trends in hiring, retirement, promotions, and performance, companies can better anticipate future workforce needs and align recruitment with strategic goals.

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