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
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# SMSSpamSentiment

tags: sentiment analysis, spam detection, machine learning

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

**Dataset Description:**

The 'SMSSpamSentiment' dataset is a collection of SMS messages labeled with the sentiment of the content, where each message is either classified as 'spam' or 'ham' (non-spam). The dataset includes columns for the SMS message text and a label indicating the sentiment. For this dataset, labels are binary, indicating 'spam' (1) or 'ham' (0). The dataset is created for research purposes in the field of sentiment analysis and spam detection in text messages.

**CSV Content Preview:**

```csv
id,text,label
1,Free entry in 2 a wkly comp to win FA Cup!,1
2,U dun say so early hor,0
3,Nah I don't think he goes,0
4,Even my brother is not like that!,0
5,Hell  no I'll never set foot in that shithole!,1
```

**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=SMSSpamSentiment&tags=sentiment+analysis,+spam+detection,+machine+learning
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
