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---
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
## 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.
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