Synthetic Candidate Profiles for Resume Screening, 50K Records

50,000 synthetic candidate profiles intended for recruitment and machine learning research. The dataset was sourced from Kaggle, but its author, creation date, and specific contents are not detailed. Its primary purpose is to support the development of automated resume screening and candidate selection algorithms.

Use Cases

• Training resume classification models based on synthetic profile features
• Benchmarking candidate ranking algorithms based on profile attributes
• Simulating recruitment pipeline workflows with synthetic data
• Developing fairness audits for automated hiring systems using synthetic profiles

Strengths

• Contains 50,000 synthetic candidate profiles, providing a substantial volume for model training.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect synthetic generation bias inherent to its creation method.

Provenance

Source

Kaggle

Collection Method

Synthetically generated.