CoolFace
Datasetpublic

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
0likes16downloads
settings

This repository belongs to Laurent1 on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameMedQuad-MedicalQnADataset_128tokens_max
visibilitypublic
licenceapache-2.0
gatedno
ownerLaurent1
Account settings
Laurent1/MedQuad-MedicalQnADataset_128tokens_max · CoolFace