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license: mit |
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## Dataset |
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The dataset is composed of messages labeled by ham or spam, merged from three data sources: |
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- SMS Spam Collection https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset |
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- Telegram Spam Ham https://huggingface.co/datasets/thehamkercat/telegram-spam-ham/tree/main |
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- Enron Spam: https://huggingface.co/datasets/SetFit/enron_spam/tree/main (only used message column and labels) |
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The prepare script for enron is available at https://github.com/mshenoda/roberta-spam/tree/main/data/enron. |
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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. |
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### Dataset Class Distribution |
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Training 80% | Validation 10% | Testing 10% |
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![](train_set_distribution.jpg "Train / Validation Loss") Class Distribution | ![](val_set_distribution.jpg "Class Distribution") Class Distribution | ![](test_set_distribution.jpg "Class Distribution") Class Distribution |