mshenoda/roberta-spam
Text Classification
•
Updated
•
31.1k
•
29
Search is not available for this dataset
image
image |
|---|
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 |
- Downloads last month
- 194
Size of downloaded dataset files:
76.4 kB
Size of the auto-converted Parquet files:
41.9 kB
Number of rows:
3
Models trained or fine-tuned on mshenoda/spam-messages