daveferbear/

supplement-effects-and-interactions

	SuppLLMent: A Benchmark for Evidence-Based Supplement Knowledge in LLMs




	
	Dataset Description

SuppLLMent is a structured dataset for evaluating large language models on supplement effectiveness knowledge. It contains 8,417 supplement-condition effectiveness facts and 5,884 drug-supplement interaction warnings extracted from publicly available consumer health resources.

This dataset enables systematic benchmarking of how well LLMs encode… See the full description on the dataset page: https://huggingface.co/datasets/daveferbear/supplement-effects-and-interactions.