Datasets:

EpiphanyTech
/

SynSEPA

Tasks:

Tabular Classification

Time Series Forecasting

Modalities:

Formats:

Languages:

Size:

Tags:

fraud-detection

anomaly-detection

Libraries:

License:

Dataset card Data Studio Files Files and versions

EpiphanyTech commited on 5 days ago

Commit

9e9e6a9

·

verified ·

1 Parent(s): f120225

Upload README.md with huggingface_hub

Files changed (1) hide show

README.md +3 -2

README.md CHANGED Viewed

@@ -77,7 +77,7 @@ dataset_info:
 # SynSEPA: A Synthetic SEPA Instant Payment Dataset for APP Fraud Detection Research
 [![License: CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
-[![Paper: SEPAGen](https://img.shields.io/badge/Paper-SEPAGen-blue)]()
 [![Fraud Rate: 0.39%](https://img.shields.io/badge/Fraud%20Rate-0.39%25-red)]()
 [![Transactions: 1.84M](https://img.shields.io/badge/Transactions-1.84M-green)]()
@@ -422,7 +422,8 @@ If you use SynSEPA in your research, please cite:
                for APP Fraud Detection Research},
   author    = {Bajaj, Gaurav},
   year      = {2026},
-  publisher = {Kaggle / HuggingFace},
   note      = {Generated as part of the SEPAGen project.
                Calibrated against EBA-ECB 2025 Payment Fraud Report.}
 }

 # SynSEPA: A Synthetic SEPA Instant Payment Dataset for APP Fraud Detection Research
 [![License: CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
+[![Dataset: Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-EpiphanyTech%2FSynSEPA-blue)](https://huggingface.co/datasets/EpiphanyTech/SynSEPA)
 [![Fraud Rate: 0.39%](https://img.shields.io/badge/Fraud%20Rate-0.39%25-red)]()
 [![Transactions: 1.84M](https://img.shields.io/badge/Transactions-1.84M-green)]()
                for APP Fraud Detection Research},
   author    = {Bajaj, Gaurav},
   year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/EpiphanyTech/SynSEPA},
   note      = {Generated as part of the SEPAGen project.
                Calibrated against EBA-ECB 2025 Payment Fraud Report.}
 }