simlab-vs/meajor_cleaned_preprocessed

1---2dataset_info:3  features:4  - name: sender5    dtype: large_string6  - name: sender_domain7    dtype: large_string8  - name: receiver9    dtype: large_string10  - name: receiver_domain11    dtype: large_string12  - name: date13    dtype: large_string14  - name: subject15    dtype: large_string16  - name: content_types17    dtype: large_string18  - name: body19    dtype: large_string20  - name: urls21    dtype: large_string22  - name: url_count23    dtype: float6424  - name: url_length_max25    dtype: float6426  - name: url_length_avg27    dtype: float6428  - name: url_subdom_max29    dtype: float6430  - name: url_subdom_avg31    dtype: float6432  - name: attachment_count33    dtype: float6434  - name: has_attachments35    dtype: bool36  - name: attachment_types37    dtype: large_string38  - name: language39    dtype: large_string40  - name: source41    dtype: large_string42  - name: label43    dtype: float6444  splits:45  - name: train46    num_bytes: 20155422747    num_examples: 10868548  download_size: 8274153449  dataset_size: 20155422750configs:51- config_name: default52  data_files:53  - split: train54    path: data/train-*55license: cc-by-4.056tags:57- email58- phishing59pretty_name: 'MeAJOR: Merged email Assets from Joint Open-source Repositories'60---61# Dataset Card for MeAJOR: Merged email Assets from Joint Open-source Repositories62 63The MeAJOR dataset was created with multi-source legitimate emails and malicious emails from different attack campaigns to enable a more reliable phishing detection. MeAJOR provides a total of 108685 data samples, in preprocessed format with engineered features suitable for the training, validation, and testing of ML and DL models.64 65## Dataset Details66 67The dataset was created at GECAD, ISEP, Polytechnic of Porto. It contains data collected from publicly available spam email and phishing email datasets:68 69TREC-0570TREC-0671TREC-0772Nazario Phishing Corpus73Nigerian Fraud74The dataset contains the email messages anonymized, source dataset and label (0 = benign; 1 = phishing). It also contains several extracted features suitable for email phishing attack detection. The email messages are anonymized using Entity Removal, with tokens replacing them, enclosed between square brackets. The tokens are as follow: [PGP], [EMOJI], [SYMBOL], [NAME], [USERNAME], [INITIALS], [EMAIL_ADDRESS], [PHONE_NUMBER], [ADDRESS], [ORGANIZATION], [URL], [IP_ADDRESS], [FILE_PATH], [FILE_NAME], [FILE], [DATE], [TIME], [FINANCIAL_INFO], [PRODUCT], [REFERENCE_NUMBER].75 76- **License:** CC-BY-4.077 78### Dataset Sources [optional]79 80 81- **Repository:** https://zenodo.org/records/1847148382- **Paper:** https://arxiv.org/abs/2507.17978v283