Dataset Open Access

Swahili : News Classification Dataset

Davis David

Project member(s)
Colin Leong

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 Africa continent to practice their NLP skills to solve different problems in organizations or societies related to 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 and test set contains 25% of the dataset.

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

The news version contains both train and test sets.
Files (118.0 MB)
Name Size
test_v0.2.csv
md5:571723dc53360b1a2c1ee313c70c6fd1
16.1 MB Download
train.csv
md5:95c41cff90efda1d961aa67d17f6a269
52.3 MB Download
train_v0.2.csv
md5:4919e81c59695ccb07386f23d807e301
49.5 MB Download
  • https://www.k4all.org/project/language-dataset-fellowship/

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Views 3,973173
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Data volume 129.3 GB1.1 GB
Unique views 3,575150
Unique downloads 2,19816

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