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mteb/medical_qa

MedicalQARetrieval An MTEB dataset Massive Text Embedding Benchmark The dataset consists 2048 medical question and answer pairs. Task category t2t Domains Medical, Written Reference https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3119-4 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["MedicalQARetrieval"]) evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/medical_qa.

sourceHugging Facecc0-1.0updated 1y agoView on Hugging Face
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