📧 Spam Detection Dataset
Overview
This dataset contains labeled text messages for binary spam classification. It is designed for Natural Language Processing (NLP) and machine learning tasks such as spam detection and text classification.
The dataset consists of two columns:
| Column | Description |
|---|---|
| text | Message content |
| target | Label (ham or spam) |
Dataset Information
Total samples: 6,485
Labels:
ham– legitimate messagesspam– unsolicited or promotional messages
File
spam.csv
Example
| target | text |
|---|---|
| ham | Go until jurong point, crazy.. Available only in bugis... |
| spam | Free entry in a weekly competition to win prizes... |
Intended Use
This dataset can be used for:
- Spam detection
- Binary text classification
- Natural Language Processing (NLP)
- Machine Learning experiments
- Educational and research purposes
Format
The dataset is provided as a CSV file.
target,text
ham,"Hello, how are you?"
spam,"Congratulations! You've won a prize."
License
This dataset is publicly available for research, educational, and non-commercial use.
Citation
If you use this dataset in your work, please consider citing or linking to this Hugging Face repository.
Disclaimer
This dataset is provided as-is without any warranty. Users are responsible for ensuring appropriate use and compliance with applicable laws and regulations.