File size: 1,302 Bytes
4069866 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
# Fraud Detection Synthetic Dataset
## Dataset Description
This is a synthetic dataset for fraud detection created for the XNL LLM Task 3 challenge. It contains transaction data with labeled fraud cases.
### Dataset Summary
- Number of transactions: 34767
- Fraud rate: 10.19%
- Generated using the Synthetic Data Generator tool
### Data Fields
- `transaction_id`: Unique identifier for each transaction
- `user_id`: User who made the transaction
- `timestamp`: When the transaction occurred
- `amount`: Transaction amount
- `merchant`: Where the transaction occurred
- `description`: Text description of the transaction
- `transaction_type`: Type of transaction (purchase, subscription, etc.)
- `device`: Device used for the transaction
- `ip_address`: IP address (for online transactions)
- `location`: Geographic location
- `is_fraud`: Target variable - indicates if the transaction is fraudulent (1) or legitimate (0)
## Additional Information
This dataset was generated using a synthetic data generator that creates realistic transaction patterns with embedded fraud signals. The data can be used for training and testing fraud detection models.
## Argilla Integration
This dataset is also available on Argilla as `fraud-detection-transactions` for interactive exploration and labeling.
|