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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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- text-generation |
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language: |
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- en |
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tags: |
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- news articles |
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- IAB categories |
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- dataset |
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- articles |
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- IAB |
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pretty_name: IAB categorization Dataset |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Article and Category Dataset |
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## Overview |
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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. |
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## Dataset Information |
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- **Number of Samples:** 871,909 |
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- **Number of Categories:** 26 |
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### Column Information |
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- **text:** The text of the article. |
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- **target:** The IAB category label corresponding to the article. |
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## IAB Categories |
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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. |
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## Potential Use Cases |
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- **Text Classification:** Use this dataset to train and evaluate text classification models to predict IAB categories for articles. |
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- **Text Generation:** Utilize the articles in this dataset as a source for text generation tasks, such as generating news headlines or summaries. |
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- **Topic Modeling:** Explore the dataset to discover underlying topics and themes in the articles. |
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- **Information Retrieval:** Build search engines or recommendation systems that use article content and categories to retrieve relevant articles for users. |
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## Data Format |
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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. |
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## License |
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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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