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Laurent1/MedQuad-MedicalQnADataset_128tokens_max

Reference : "A Question-Entailment Approach to Question Answering". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." This is an update of Keivalya Pandya's dataset (keivalya/MedQuad-MedicalQnADataset). Content There are medical questions and corresponding responses in a prompt format for chat or instruct model types In order to fine tuned LLM with small HW (1 or 2 GPU with 14 Go) Rows above 128 tokens have been deleted. Rows have been truncated to a line break or a… See the full description on the dataset page: https://huggingface.co/datasets/Laurent1/MedQuad-MedicalQnADataset_128tokens_max.

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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