datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
phishing-url
Dataset Description
The provided dataset includes 11430 URLs with 87 extracted features.The dataset are designed to be used as a benchmark for machine learning based phishing detection systems.The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs.
Features are from three different classes:
56 extracted from the structure and syntax of URLs
24 extracted from the content of their correspondent pages
7 are extracetd by querying external services.
The… See the full description on the dataset page: https://huggingface.co/datasets/pirocheto/phishing-url.fed-phishing-urls
Dataset Card for Federated Phishing URLs
Dataset Summary
This dataset is a federated, non-IID phishing URL classification benchmark derived from two public Hugging Face datasets:
ealvaradob/phishing-dataset, using the urls.json file.
kmack/Phishing_urls, using the merged train+test+valid splits.
The resulting dataset contains URL strings, binary phishing labels, and a client_id field assigning each example to one of 100 simulated clients.
Client assignment is… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/fed-phishing-urls.PhishingURLDatasetsphishing-url
Dataset Description
The provided dataset includes 11430 URLs with 87 extracted features.The dataset are designed to be used as a benchmark for machine learning based phishing detection systems.The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs.
Features are from three different classes:
56 extracted from the structure and syntax of URLs
24 extracted from the content of their correspondent pages
7 are extracetd by querying external services.… See the full description on the dataset page: https://huggingface.co/datasets/husseinnashed/phishing-url.phishing-url
Dataset Description
The provided dataset includes 11430 URLs with 87 extracted features.The dataset are designed to be used as a benchmark for machine learning based phishing detection systems.The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs.
Features are from three different classes:
56 extracted from the structure and syntax of URLs
24 extracted from the content of their correspondent pages
7 are extracetd by querying external services.
The… See the full description on the dataset page: https://huggingface.co/datasets/IRBXrocket/phishing-url.Phishing_URL