Dataset Card for news-data

Dataset Summary

The News Dataset is an English-language dataset containing just over 4k unique news articles scrapped from AriseTv- One of the most popular news television in Nigeria.

Supported Tasks and Leaderboards

It supports news article classification into different categories.

Languages

English

Dataset Structure

Data Instances

''' {'Title': 'Nigeria: APC Yet to Zone Party Positions Ahead of Convention' 'Excerpt': 'The leadership of the All Progressives Congress (APC), has denied reports that it had zoned some party positions ahead of' 'Category': 'politics' 'labels': 2} '''

Data Fields

• Title: a string containing the title of a news title as shown
• Excerpt: a string containing a short extract from the body of the news
• Category: a string that tells the category of an example (string label)
• labels: integer telling the class of an example (label)

Data Splits

Dataset Creation

Source Data

The code for the dataset creation at https://github.com/chimaobi-okite/NLP-Projects-Competitions/blob/main/NewsCategorization/Data/NewsDataScraping.ipynb . The examples were scrapped from https://www.arise.tv/

Annotations

The annotation is based on the news category in the arisetv website

Journalists at arisetv

Considerations for Using the Data

Social Impact of Dataset

The purpose of this dataset is to help develop models that can classify news articles into categories.

This task is useful for efficiently presenting information given a large quantity of text. It should be made clear that any summarizations produced by models trained on this dataset are reflective of the language used in the articles, but are in fact automatically generated.

Discussion of Biases

This data is biased towards news happenings in Nigeria but the model built using it can as well classify news from other parts of the world with a slight degradation in performance.

Dataset Curators

The dataset is created by people at arise but was scrapped by @github-chimaobi-okite