language:en license:mit size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
language:
- en
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# SpamFilterTrainSet

tags: Spam, Supervised Learning, Dataset

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'SpamFilterTrainSet' CSV dataset is designed for supervised learning in text classification, specifically for training a machine learning model to distinguish between spam and non-spam (ham) emails. The dataset consists of two columns: 'text' for the email content and 'label' for the classification label, which indicates whether an email is spam (label 1) or not (label 0).

**CSV Content Preview:**

```csv
text,label
"Hey there! You've won a free vacation! Claim now.","1"
"Congratulations! You've been selected for our exclusive discount offer.","1"
"Important notice: Account update required for continued service.","0"
"Fresh picks of amazing deals just for you! Don't miss out.","1"
"Hi, this is a friendly reminder to renew your subscription.","0"
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'Spam':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Spam&dataset=SpamFilterTrainSet&tags=Spam,+Supervised+Learning,+Dataset
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
