EweBench: Benchmark for Evaluating LLMs in the Ewe Language

EweBench is the first standardized benchmark for evaluating Large Language Models on the Ewe language, a Kwa language spoken by approximately 7 million people in Togo and Ghana. It is hosted on Hugging Face by the author 'jojonocode' and was last updated on 2026-06-24. The dataset serves as a reference for assessing model performance on this specific language.

Use Cases

• Benchmarking LLM performance on Ewe language tasks based on the described evaluation framework.
• Training or fine-tuning models for Ewe language understanding and generation based on the benchmark data.
• Conducting linguistic research on the Ewe language using a standardized evaluation corpus.
• Comparing multilingual LLM capabilities across different African languages using a dedicated benchmark.

Strengths

• It is described as the first standardized benchmark for the Ewe language, which is spoken by approximately 7 million people.
• The dataset has a specific last updated timestamp of 2026-06-24 14:58:20.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.
• The description is partial, directing users to an external page for full details.

Provenance

Source

huggingface

Freshness

Last updated 2026-06-24 14:58:20.

Geography

Togo and Ghana