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README.md

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-license: apache-2.0
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+# 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.