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israel/ProverbEval

ProverbEval: Benchmark for Evaluating LLMs on Low-Resource Proverbs This dataset accompanies the paper:"ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding"ArXiv:2411.05049v3 Dataset Summary ProverbEval is a culturally grounded evaluation benchmark designed to assess the language understanding abilities of large language models (LLMs) in low-resource settings. It consists of tasks based on proverbs in five languages: Amharic… See the full description on the dataset page: https://huggingface.co/datasets/israel/ProverbEval.

Author / organizationisrael
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Created18 July 2024
Last updated at source27 May 2025
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  • 16 Oct 2026 Description: ProverbEval: Benchmark for Evaluating LLMs on Low-Resource Proverbs This dataset accompanies the paper:"ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding"ArXiv:2411.05049v3 Dataset Summary ProverbEval → ProverbEval: Benchmark for Evaluating LLMs on Low-Resource Proverbs This dataset accompanies the paper:"ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding"ArXiv:2411.05049v3 Dataset Summary ProverbEval

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