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phreshphish

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mohan412 tdalton commited on
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Duplicate from phreshphish/phreshphish

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Co-authored-by: Thomas Dalton <tdalton@users.noreply.huggingface.co>

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+ ---
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+ license: cc-by-4.0
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+ size_categories:
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+ - 100K<n<1M
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+ task_categories:
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+ - text-classification
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+ pretty_name: PhreshPhish
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: "data/train-*.parquet"
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+ - split: test
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+ path: "data/test-*.parquet"
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+ ---
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+
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+ # PhreshPhish
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+ PhreshPhish is a **large-scale**, **real-world** dataset and benchmark for phishing webpage detection containing phishing and benign HTML-URL pairs.
19
+
20
+ - **Train** 498,255 samples: 276,729 benign and 221,526 phish
21
+ - **Test** 168,060 samples: 91,260 benign and 76,876 phish
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+ - **Benchmarks** 975 benchmarks with base rates ranging from `[5e-4, 1e-3, 5e-3, 1e-2, 5e-2]`
23
+
24
+ ## Changelog
25
+
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+ - **v1.0.1 (2026-02-07)**: Added ~200k new samples collected between March and December 2025, improved temporal consistency by downsampling some earlier samples
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+ - **v1.0.0 (2025-05-14)**: Initial release
28
+
29
+ ## Getting Started
30
+
31
+ ```python
32
+ from datasets import load_dataset
33
+
34
+ train = load_dataset('phreshphish/phreshphish', split='train')
35
+ test = load_dataset('phreshphish/phreshphish', split='test')
36
+ ```
37
+
38
+ ## License & Terms of Use
39
+
40
+ 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.
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+
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+ ## Citing
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+
44
+ If you find our work useful, please consider citing.
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+
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+ Paper: [PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark](https://huggingface.co/papers/2507.10854)
47
+
48
+ ```bibtex
49
+ @article{dalton2025phreshphish,
50
+ title = {PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark},
51
+ 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},
52
+ year = 2025,
53
+ journal = {arXiv preprint},
54
+ url = {https://arxiv.org/abs/2507.10854},
55
+ eprint = {2507.10854}
56
+ }
57
+ ```
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