task_categories:text-classification task_categories:text-generation size_categories:100K<n<1M language:en license:apache-2.0 news articles IAB categories dataset articles IAB region:us
---
license: apache-2.0
task_categories:
- text-classification
- text-generation
language:
- en
tags:
- news articles
- IAB categories
- dataset
- articles
- IAB
pretty_name: IAB categorization Dataset
size_categories:
- 100K<n<1M
---

# Article and Category Dataset

![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)

## Overview

This dataset contains a collection of articles, primarily news articles, along with their respective IAB (Interactive Advertising Bureau) categories. It can be a valuable resource for various natural language processing (NLP) tasks, including text classification, text generation, and more.

## Dataset Information

- **Number of Samples:** 871,909
- **Number of Categories:** 26

### Column Information

- **text:** The text of the article.
- **target:** The IAB category label corresponding to the article.

## IAB Categories

The Interactive Advertising Bureau (IAB) categories are a standardized taxonomy used in the advertising industry to categorize digital advertising content. These categories help advertisers and marketers target their audience more effectively. Each category is represented by a label or code that indicates the content's topic or theme.

## Potential Use Cases

- **Text Classification:** Use this dataset to train and evaluate text classification models to predict IAB categories for articles.
- **Text Generation:** Utilize the articles in this dataset as a source for text generation tasks, such as generating news headlines or summaries.
- **Topic Modeling:** Explore the dataset to discover underlying topics and themes in the articles.
- **Information Retrieval:** Build search engines or recommendation systems that use article content and categories to retrieve relevant articles for users.

## Data Format

The dataset is provided in a standard tabular format with two columns: "text" and "target". You can easily load and manipulate the data using popular data manipulation libraries such as pandas in Python.

## License

This dataset is available under the [Apache 2.0 License](LICENSE.md). Please review the license before using the dataset for any purpose.

