---
pretty_name: Phishing HTML Dataset (Parquet)
language:
- en
license: unknown
task_categories:
- text-classification
size_categories:
- 100K<1M
annotations_creators:
- no-annotation
source_datasets:
- original
---

# Phishing Dataset (Parquet)

## Dataset Summary
This dataset contains HTML pages labeled as benign or malicious, collected from confirmed phishing URLs reported on PhishTank across 2018-2020. The data here is a direct conversion of the Kaggle dataset "phishing-dataset" by **asifejazitu** into a Hugging Face-compatible Parquet file.

## Data Files
- `train.parquet`
- `eval.parquet`
- `test.parquet`

## Data Fields
- `text` (string): HTML content of the page.
- `label` (class): `benign` or `malicious`.
- `year` (int32): year extracted from the folder structure (2018, 2019, 2020).
- `path` (string): original file path in the extracted dataset.

## Data Splits
- `train`: 305,470 examples.
- `eval`: 38,184 examples.
- `test`: 38,184 examples.

Splits are created with stratified sampling to keep benign/malicious proportions consistent across splits.

## Source Data
Original dataset on Kaggle:
https://www.kaggle.com/datasets/asifejazitu/phishing-dataset

The authors note the pages were extracted from confirmed phishing URLs reported on PhishTank:
https://phishtank.org/

## Citation
If you use this dataset, please cite the original sources:

```bibtex
@misc{asifejazitu_phishing_dataset_2023,
  title = {Phishing Dataset},
  author = {asifejazitu},
  howpublished = {Kaggle Dataset},
  year = {2023},
  url = {https://www.kaggle.com/datasets/asifejazitu/phishing-dataset}
}

@misc{phishtank,
  title = {PhishTank},
  howpublished = {https://phishtank.org/}
}
```