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

# EducationalTextsVsRandomChatter

tags: classification, text, machine learning

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

**Dataset Description:**

The 'EducationalTextsVsRandomChatter' dataset comprises a collection of text samples categorized into two distinct classes: 'Educational' and 'Random Chatter'. Each entry in the dataset contains an excerpt of text, which is labeled accordingly to serve as a ground truth for machine learning models aimed at educational text classification. The texts in the 'Educational' category are derived from academic papers, textbooks, and scholarly articles, providing content with a structured and informative nature. Conversely, the 'Random Chatter' category encompasses informal and non-structured text samples, such as casual conversations, social media posts, and non-academic blogs. The dataset serves as a valuable resource for training models to differentiate between formal educational content and informal, non-educational text.

**CSV Content Preview:**

```
id,text,label
1,"A study on the impact of social media on education shows a significant influence on the way students learn and interact with educational content.",Educational
2,"Just watched the latest episode of 'Space Battles' – totally blown away by the special effects!",Random Chatter
3,"Photosynthesis is a process used by plants to convert light energy into chemical energy, which is stored in sugar. It is the foundation of life on Earth.",Educational
4,"Hey, what's up? Just chilling at home, binge-watching my favorite show. You know how it is!",Random Chatter
5,"The importance of establishing a strong foundation in algebra cannot be overstated. It's a fundamental skill for higher-level mathematics.",Educational
```

This preview provides an insight into the structure and type of content that can be found within the 'EducationalTextsVsRandomChatter' dataset. It includes representative samples of both categories, with the 'label' column indicating the classification for each text entry. The content is crafted to reflect realistic examples that would be encountered in the respective categories, thus serving as an effective training ground for machine learning algorithms focused on the educational text classification task.

**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 'educational vs non-sense text classification ':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=educational+vs+non-sense+text+classification+&dataset=EducationalTextsVsRandomChatter&tags=classification,+text,+machine+learning
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
