Dataset · Hugging Face

masakhane/masakhanews

Name: masakhanews
Creator: masakhane
License: afl-3.0
Keywords: task_categories:text-classification, task_ids:multi-class-classification, annotations_creators:expert-generated, language_creators:expert-generated, multilinguality:multilingual, source_datasets:original, language:am, language:en, language:fr, language:ha, language:ig, language:ln, language:lg, language:om, language:pcm

Dataset Card for [Dataset Name] Dataset Summary MasakhaNEWS is the largest publicly available dataset for news topic classification in 16 languages widely spoken in Africa. The train/validation/test sets are available for all the 16 languages. Supported Tasks and Leaderboards [More Information Needed] news topic classification: categorize news articles into new topics e.g business, sport sor politics. Languages There are 16… See the full description on the dataset page: https://huggingface.co/datasets/masakhane/masakhanews.

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Author / organization	masakhane
License (as declared)	afl-3.0
Downloads	4.6K (as reported by Hugging Face)
Likes	17
Created	20 April 2023
Last updated at source	3 December 2025

news-topicmasakhanewsmasakhane

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Connected in the knowledge graph

ReneNtabana/kirundi-news-classifierModel · used to train
mradermacher/hausa-news-classifier-GGUFModel · used to train
Burabyo/luganda-news-afroxlmrModel · used to train

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17 Oct 2026 Description: Dataset Card for [Dataset Name] Dataset Summary MasakhaNEWS is the largest publicly available dataset for news topic classification in 16 languages widely spoken in Africa. The train/validation/test sets are available for all the 16 languag → Dataset Card for [Dataset Name] Dataset Summary MasakhaNEWS is the largest publicly available dataset for news topic classification in 16 languages widely spoken in Africa. The train/validation/test sets are available for all the 16 languag

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.