Synthetic Candidate Profiles for Recruitment Screening, 50K Records

50,000 synthetic candidate profiles designed for recruitment and machine learning research. The dataset is hosted on Kaggle, but its author, organization, and specific creation details are not provided. Its synthetic nature suggests it was generated for controlled experimentation.

Use Cases

• Train resume classification models based on synthetic profile features
• Benchmark candidate ranking algorithms based on synthetic attributes
• Study fairness and bias in automated hiring systems using controlled synthetic data

Strengths

• Contains 50,000 candidate profiles, providing a substantial volume for model training
• Explicitly designed for machine learning research, suggesting a focus on structured, usable data

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Data is synthetic, which may limit its realism and applicability to real-world recruitment scenarios

Provenance

Source

Kaggle

Collection Method

Synthetically generated