Freesyntheticdatafrauddetection50M

Zia Data Labs offers a 50-million-record synthetic dataset for fraud detection, completely free of charge. The dataset is intended as a production-grade introduction to the provider's data offerings. It was last updated on June 11, 2026.

Use Cases

• Training fraud detection models based on synthetic transaction data.
• Benchmarking anomaly detection algorithms against a large-scale dataset.
• Developing and testing financial risk systems without using sensitive real-world data.

Strengths

• Contains 50 million synthetic records, providing substantial scale for model training.
• Offered completely free by Zia Data Labs as a production-grade sample.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is synthetic, which may not fully capture the complexity and patterns of real-world fraud.

Provenance

Source

Zia Data Labs

Collection Method

Synthetically generated.

Freshness

Last updated 2026-06-11 05:58:03.