alusci/sms-otp-spam-dataset

📲 SMS OTP Spam Dataset

A synthetic dataset of 10,000 OTP-style SMS messages for spam classification tasks. The dataset includes both valid and spam-like messages, with labels for message validity and delivery status.

📊 Dataset Summary

• Total samples: 10,000
• Valid messages: 90%
• Not valid (spam-like): 10%
• Status types: delivered, failed, spam, bounced, expired

Each entry includes:

• phone_id: Synthetic phone number
• sms_text: Message content
• label: valid or not valid
• timestamp: Synthetic datetime
• status: Message delivery outcome

🔍 Tasks

This dataset can be used for:

• Binary text classification (valid vs not valid)
• Spam detection in telecom and messaging systems
• Evaluating robustness of NLP classifiers to synthetic vs real-world content

🏷 Tags

#sms #spam-detection #otp #nlp #synthetic-data

📄 License

MIT License

📚 Citation

@misc{smsotp2025,
  title        = {SMS OTP Spam Dataset},
  author       = {Alessandro Lusci},
  year         = 2025,
  note         = {Synthetic dataset generated for spam classification research.},
  url          = {https://huggingface.co/datasets/alusci/sms-otp-spam-dataset}
}