Digital Payments Fraud Dataset with 5.5 Million Transactions

A multi-table dataset of 5.5 million transactions for fraud detection and risk modeling. The dataset is hosted on Kaggle and is tagged for use in automated machine learning and data cleaning tasks. The original author, organization, and specific collection details are unknown.

Use Cases

• Train fraud detection models based on transaction patterns described in the dataset.
• Conduct risk modeling analysis based on the multi-table structure.
• Perform SQL analysis and join operations based on the relational table design.

Strengths

• Contains 5.5 million transactions, providing a substantial volume for analysis.
• Designed as a multi-table dataset, which suggests a relational structure for complex queries.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count per table is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last updated date is unknown.

Geography

Global