| --- |
| license: cc-by-4.0 |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-classification |
| pretty_name: PhreshPhish |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "data/train-*.parquet" |
| - split: test |
| path: "data/test-*.parquet" |
| --- |
| |
| # PhreshPhish |
| PhreshPhish is a **large-scale**, **real-world** dataset and benchmark for phishing webpage detection containing phishing and benign HTML-URL pairs. |
|
|
| - **Train** 498,255 samples: 276,729 benign and 221,526 phish |
| - **Test** 168,060 samples: 91,260 benign and 76,876 phish |
| - **Benchmarks** 975 benchmarks with base rates ranging from `[5e-4, 1e-3, 5e-3, 1e-2, 5e-2]` |
|
|
| ## Changelog |
|
|
| - **v1.0.1 (2026-02-07)**: Added ~200k new samples collected between March and December 2025, improved temporal consistency by downsampling some earlier samples |
| - **v1.0.0 (2025-05-14)**: Initial release |
|
|
| ## Getting Started |
|
|
| ```python |
| from datasets import load_dataset |
| |
| train = load_dataset('phreshphish/phreshphish', split='train') |
| test = load_dataset('phreshphish/phreshphish', split='test') |
| ``` |
|
|
| ## License & Terms of Use |
|
|
| The dataset is released under [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) license and should only be used for anti-phishing research. |
|
|
| ## Citing |
|
|
| If you find our work useful, please consider citing. |
|
|
| Paper: [PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark](https://huggingface.co/papers/2507.10854) |
|
|
| ```bibtex |
| @article{dalton2025phreshphish, |
| title = {PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark}, |
| author = {Thomas Dalton and Hemanth Gowda and Girish Rao and Sachin Pargi and Alireza Hadj Khodabakhshi and Joseph Rombs and Stephan Jou and Manish Marwah}, |
| year = 2025, |
| journal = {arXiv preprint}, |
| url = {https://arxiv.org/abs/2507.10854}, |
| eprint = {2507.10854} |
| } |
| ``` |
