mteb/AfriSentiClassification
AfriSentiClassification An MTEB dataset Massive Text Embedding Benchmark AfriSenti is the largest sentiment analysis dataset for under-represented African languages. Task category t2c Domains Social, Written Reference https://arxiv.org/abs/2302.08956 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["AfriSentiClassification"]) evaluator = mteb.MTEB(task)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/AfriSentiClassification.
| Author / organization | mteb |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 603 (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: AfriSentiClassification An MTEB dataset Massive Text Embedding Benchmark AfriSenti is the largest sentiment analysis dataset for under-represented African languages. Task category t2c Domains Social, Written Referencehttps://arxiv.org/abs/2 → AfriSentiClassification An MTEB dataset Massive Text Embedding Benchmark AfriSenti is the largest sentiment analysis dataset for under-represented African languages. Task category t2c Domains Social, Written Reference https://arxiv.org/abs/
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