# 📧 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 messages
  * `spam` – 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.

```text
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.