There is a newer version of this record available.

Dataset Open Access

Swahili : News Classification Dataset

Davis David

Swahili is spoken by 100-150 million people across East Africa. In Tanzania, it is one of two national languages (the other is English) and it is the official language of instruction in all schools. News in Swahili is an important part of the media sphere in Tanzania.

News contributes to education, technology, and the economic growth of a country, and news in local languages plays an important cultural role in many Africa countries. In the modern age, African languages in news and other spheres are at risk of being lost as English becomes the dominant language in online spaces.

 The Swahili news dataset was created to reduce the gap of using the Swahili language to create NLP technologies and help AI practitioners in Tanzania and across the Africa continent to practice their NLP skills to solve different problems in organizations or societies related to the Swahili language. Swahili News were collected from different websites that provide news in the Swahili language. I was able to find some websites that provide news in Swahili only and others in different languages including Swahili.

The dataset was created for a specific task of text classification, this means each news content can be categorized into six different topics (Local News, International News, Finance News, Health News, Sports News, and Entertainment news). The dataset comes with a specified train/test split. The train set contains 75% of the dataset.

Acknowledgment: This project was supported by the AI4D language dataset fellowship through K4All and Zindi Africa.

Files (52.3 MB)
Name Size
train.csv
md5:95c41cff90efda1d961aa67d17f6a269
52.3 MB Download
  • https://www.k4all.org/project/language-dataset-fellowship/

3,619
2,230
views
downloads
All versions This version
Views 3,6193,486
Downloads 2,2302,217
Data volume 116.5 GB116.0 GB
Unique views 3,2643,179
Unique downloads 1,9951,988

Share

Cite as