@article{jin2020disease, title={What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams}, author={Jin, Di and Pan, Eileen and Oufattole, Nassim and Weng, Wei-Hung and Fang, Hanyi and Szolovits, Peter}, journal={arXiv preprint arXiv:...
数据集文件结构如下,在huggingface上上传了两个dataset,分别是train和test的json文件 CMtMedQA |__ CMtMedQA.json |__ README.md CMtMedQA_test_v1 |__ CMtMedQA_test.json |__ README.md 作者及机构 Songhua Yang(郑州大学)Hanjie Zhao(郑州大学)Senbin Zhu (郑州大学)Guangyu Zhou (郑州大学)Hongfei ...
2.2 split the datasetAfter downloading PQA-A and PQA-L as pubmedqa_ori_pqaa_datasets.json and pubmedqa_ori_pqau_datasets.json in the ./data/, enter the ./preprocess/ directory and split the dataset: cd preprocess python split_dataset.py pqaa python split_dataset.py pqal Please be ...
python split_dataset.py pqal Please be aware that there is no offical code for splitting PQA-U. Evaluation and submission To evaluate your model predictions, please prepare the results in a json format where the key is PMID and value is one of "yes", "no", and "maybe". Run the follo...
The dataset is pulled from paperswithcode which was originally pulled from A Large-scale Open Domain Question Answering Dataset from Medical Exams The dataset is collected from the professional medical board exams. It covers three languages: English, simplified Chinese, and traditional Chinese, and co...
cdpreprocess python split_dataset.py pqaa python split_dataset.py pqal Please be aware that there is no offical code for splitting PQA-U. Evaluation and submission To evaluate your model predictions, please prepare the results in a json format where the key is PMID and value is one of "ye...
WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset Overview WorldMedQA-V is a multilingual and multimodal benchmarking dataset designed to evaluate vision-language models (VLMs) in healthcare contexts. The dataset includes medical examination questions from four countries—Brazil, Israel...
@inproceedings{jin2019pubmedqa, title={PubMedQA: A Dataset for Biomedical Research Question Answering}, author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua}, booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing...
title={PubMedQA: A Dataset for Biomedical Research Question Answering}, author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua}, booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint...
We introduce PubMedQA, a novel biomedical question answering (QA) dataset collected from PubMed abstracts. The task of PubMedQA is to answer research questions with yes/no/maybe (e.g.: Do preoperative statins reduce atrial fibrillation after coronary artery bypass grafting?) using the correspondi...