Datasets › IEEE CIS Fraud Detection
IEEE CIS Fraud Detection (IEEE CIS Fraud Detection (Vesta))
The Vesta dataset was released for use in the IEEE CIS Fraud Detection competition. It contains 590,540 card transactions, 20,663 of which are fraudulent (3.5%). Each transaction has 431 features (400 numerical, 31 categorical), along with the relative timestamp and a label of whether it was fraudulent or legitimate. For anonymization purposes, the names of the identity features have been masked, along with the names of the extra features engineered by Vesta.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
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Variants archive 2025-07-28
- IEEE CIS Fraud Detection
1 variant name, as the archive lists them.
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