---
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.

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## 🧠 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 **ham**  
  - `message` → The SMS text content  

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## 📊 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 |

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## ⚙️ 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  

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## 📁 File Structure
- `Dataset` —> `spam.csv`
  
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## 🧩 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. |

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## 📜 License(mit)
This dataset is provided for **educational and research purposes only**.

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## 🙌 Author
**Gaurav Pandey (Mr. Def@ult)**  
Founder of **DarkNeuronAI**  
📧 darkneuronai.official@gmail.com

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## Developed With ❤️ By DarkNeuronAI