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. Please review the license before using the dataset for any purpose.