Yale-BIDS-Chen/LEME-Training-Data
LEME Training Data Instruction and preference datasets for the LEME ophthalmology language models. Paper · Code · Corpus Motivation and data construction The datasets were designed to adapt a general-purpose language model to ophthalmology: SFT develops domain-specific instruction following, while DPO explicitly targets truthful and informative responses. For SFT, GPT-4o generated instruction-response examples from selected ophthalmology guidelines, StatPearls… See the full description on the dataset page: https://huggingface.co/datasets/Yale-BIDS-Chen/LEME-Training-Data.
| Author / organization | Yale-BIDS-Chen |
|---|---|
| License (as declared) | other |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 October 2026 |
| Last updated at source | 25 October 2026 |
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- 25 Oct 2026 Description: LEME Training Data Instruction and preference datasets for the LEME ophthalmology language models developed by the Yale BIDS Chen Lab. Paper · Code · Corpus Configuration Examples Purpose Model sft 211,149 Supervised fine-tuning LEME-SFT-70 → LEME Training Data Instruction and preference datasets for the LEME ophthalmology language models. Paper · Code · Corpus Motivation and data construction The datasets were designed to adapt a general-purpose language model to ophthalmology:
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