Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Sub-tasks:
closed-domain-qa
Languages:
English
Size:
< 1K
License:
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Verified signatureeye_disease_knowledge_base.json A curated ophthalmic knowledge base extracted from clinical materials, guidelines, and medical literature. It contains structured information on diseases such as glaucoma, cataracts, macular degeneration, etc. This file can be used as a retrieval source for RAG-style models or knowledge-enhanced QA generation. eye_QA_train.json A collection of QA pairs generated based on the above knowledge base. This set is intended for supervised training. Each example contains a question, a corresponding answer, and optionally, supporting knowledge entries. eye_QA_test.json A held-out set of 500 QA pairs used for evaluation. This set enables benchmarking the model's ability to generalize to unseen ophthalmic queries.2d98f17 -
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