mshenoda/spam-messages

Dataset

The dataset is composed of messages labeled by ham or spam, merged from three data sources:

• SMS Spam Collection https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset
• Telegram Spam Ham https://huggingface.co/datasets/thehamkercat/telegram-spam-ham/tree/main
• Enron Spam: https://huggingface.co/datasets/SetFit/enron_spam/tree/main (only used message column and labels)

The prepare script for enron is available at https://github.com/mshenoda/roberta-spam/tree/main/data/enron. The data is split 80% train 10% validation, and 10% test sets; the scripts used to split and merge of the three data sources are available at: https://github.com/mshenoda/roberta-spam/tree/main/data/utils.

Dataset Class Distribution

Training 80%	Validation 10%	Testing 10%
Class Distribution	Class Distribution	Class Distribution