TreeAILab/NumericBench
Introduction NumericBench is a comprehensive benchmark designed to evaluate the numerical reasoning capabilities of Large Language Models, addressing their limitations in tasks like arithmetic, number recognition, contextual retrieval, comparison, summarization, and logical reasoning. By incorporating diverse datasets ranging from synthetic number lists to real-world domains like stock trends and weather patterns, NumericBench systematically tests LLMs in both structured and… See the full description on the dataset page: https://huggingface.co/datasets/TreeAILab/NumericBench.
| Author / organization | TreeAILab |
|---|---|
| Downloads | 246 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 16 February 2025 |
| Last updated at source | 1 August 2025 |
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- 16 Oct 2026 Description: Introduction NumericBench is a comprehensive benchmark designed to evaluate the numerical reasoning capabilities of Large Language Models, addressing their limitations in tasks like arithmetic, number recognition, contextual retrieval, comp → Introduction NumericBench is a comprehensive benchmark designed to evaluate the numerical reasoning capabilities of Large Language Models, addressing their limitations in tasks like arithmetic, number recognition, contextual retrieval, comp
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