Yale-BIDS-Chen/LEME-Public-Eye-Health-QA

LEME Public Eye Health QA The 281-example public eye health question-answering benchmark used in LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation. Data test contains 281 rows with query and answer string fields. The rows come from National Eye Institute (NEI/NIH) educational web text. This release converts the original LEME JSON array to JSON Lines without changing or filtering any questions or answers. It includes… See the full description on the dataset page: https://huggingface.co/datasets/Yale-BIDS-Chen/LEME-Public-Eye-Health-QA.

<iframe src="https://silytics.si/embed/item/ca05a08e-9c08-465f-97f8-4575e79c39ce" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 25 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.