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README (1).md

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+---
+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 **ham**  
+  - `message` → 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)**  
+Co-founder of **DarkNeuronAI**  
+📧 darkneuronai.official@gmail.com
+
+---
+
+## Developed With ❤️ By DarkNeuronAI

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