LHRS-UM-FERI/MENTHOS-dataset-spam
MENTHOS-dataset-spam English About MENTHOS-Spam is a binary text classification dataset for spam/phishing detection. It is created by combining email and SMS spam sources and then producing train/validation/test splits. Source Data Original sources: Phishing Email Dataset (Kaggle): https://www.kaggle.com/datasets/naserabdullahalam/phishing-email-dataset SMS Spam Collection (Kaggle mirror of UCI dataset):… See the full description on the dataset page: https://huggingface.co/datasets/LHRS-UM-FERI/MENTHOS-dataset-spam.
MENTHOS-dataset-spam
English
About
MENTHOS-Spam is a binary text classification dataset for spam/phishing detection. It is created by combining email and SMS spam sources and then producing train/validation/test splits.
Source Data
Original sources:
- Phishing Email Dataset (Kaggle): https://www.kaggle.com/datasets/naserabdullahalam/phishing-email-dataset
- SMS Spam Collection (Kaggle mirror of UCI dataset): https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset
Processing and Balancing
- Unified schema:
text,label - Label mapping for SMS source:
ham -> 0,spam -> 1 - Split: 70% train, 15% validation, 15% test
- Balancing: each split is balanced by downsampling to the minority class count
Splits and Class Distribution
The prepared train, validation, and test splits are included with the dataset release.
Citation
@misc{borovic_li-dobnik_kranjec_ferme_2026,
title = {MENTHOS-dataset-spam},
author = {Borovic, Li Dobnik, Kranjec, Ferme},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/LHRS-UM-FERI/MENTHOS-dataset-spam}}
}Slovenščina
O datasetu
MENTHOS-Spam je binarni dataset za detekcijo spam/phishing besedil. Nastane z združitvijo e-poštnega in SMS vira ter z gradnjo train/validation/test delitev.
Izvorni podatki
Izvor:
- Phishing Email Dataset (Kaggle): https://www.kaggle.com/datasets/naserabdullahalam/phishing-email-dataset
- SMS Spam Collection (Kaggle ogledalo UCI): https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset
Obdelava in uravnoteženje
- Enotna shema:
text,label - Preslikava oznak za SMS vir:
ham -> 0,spam -> 1 - Delitev: 70% train, 15% validation, 15% test
- Uravnoteženje: vsak split je uravnotežen z downsamplingom na manjšinski razred
Delitve in porazdelitev razredov
Pripravljene train, validation in test delitve so vključene v izdajo nabora podatkov.
Citiranje
@misc{borovic_li-dobnik_kranjec_ferme_2026,
title = {MENTHOS-dataset-spam},
author = {Borovic, Li Dobnik, Kranjec, Ferme},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/LHRS-UM-FERI/MENTHOS-dataset-spam}}
}