Dataset · Hugging Face

mteb/MasakhaNEWSClusteringS2S

Name: MasakhaNEWSClusteringS2S
Creator: mteb
License: afl-3.0
Keywords: task_categories:text-classification, task_ids:topic-classification, annotations_creators:human-annotated, multilinguality:multilingual, source_datasets:masakhane/masakhanews, language:amh, language:eng, language:fra, language:hau, language:ibo, language:lin, language:lug, language:orm, language:pcm, language:run

MasakhaNEWSClusteringS2S An MTEB dataset Massive Text Embedding Benchmark Clustering of news article headlines from MasakhaNEWS dataset. Clustering of 10 sets on the news article label. Task category t2t Domains News, Written Reference https://huggingface.co/datasets/masakhane/masakhanews Source datasets: masakhane/masakhanews How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MasakhaNEWSClusteringS2S.

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Author / organization	mteb
License (as declared)	afl-3.0
Downloads	402 (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	24 February 2026

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17 Oct 2026 Description: MasakhaNEWSClusteringS2S An MTEB dataset Massive Text Embedding Benchmark Clustering of news article headlines from MasakhaNEWS dataset. Clustering of 10 sets on the news article label. Task category t2t Domains News, Written Reference http → MasakhaNEWSClusteringS2S An MTEB dataset Massive Text Embedding Benchmark Clustering of news article headlines from MasakhaNEWS dataset. Clustering of 10 sets on the news article label. Task category t2t Domains News, Written Reference http

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