metadata
license: mit
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
📦 SMS Spam Detection Dataset
A curated dataset of SMS messages labeled as Spam or Ham (Not Spam).
This dataset is ideal for building and testing spam detection models using Machine Learning or Deep Learning.
🧠 Overview
- File Name:
spam.csv - Total Entries: 5,000+ SMS messages
- Format: CSV (Comma Separated Values)
- Columns:
label→ Indicates whether the message is spam or hammessage→ The SMS text content
📊 Dataset Features
| Feature | Description |
|---|---|
| Message Type | Categorized as spam or ham |
| Text Content | Real-world SMS messages |
| Balanced Data | Contains a good mix of spam and non-spam messages |
| Cleaned Data | Pre-processed and structured for ML usage |
⚙️ Use Cases
- Spam Detection using ML or DL models
- NLP Text Classification
- Preprocessing and feature extraction (TF-IDF, Word2Vec, etc.)
- Experimenting with model accuracy and F1-scores
📁 File Structure
Dataset—>spam.csv
🧩 Example Rows
| label | message |
|---|---|
| ham | Hey, are we still meeting today? |
| spam | Congratulations! You’ve won a $1000 Walmart gift card! Click here to claim. |
📜 License(mit)
This dataset is provided for educational and research purposes only.
🙌 Author
Gaurav Pandey (Mr. Def@ult)
Founder of DarkNeuronAI
📧 darkneuronai.official@gmail.com