SolarChemQA is a novel question answering dataset curated from solar chemistry literature designed to rigorously assess the capabilities of Large Language Models (LLMs) driven QA systems in processing domain-specific scientific content.
The dataset provides the raw extracted context from solar chemistry papers, domain expert annotations, and the domain expert validated sentences from the context may be used as evidences for the… See the full description on the dataset page: https://huggingface.co/datasets/ClarkWangPas/SolarChemQA_Clark.
