| # PubMedQA | |
| ### Paper | |
| Title: `PubMedQA: A Dataset for Biomedical Research Question Answering` | |
| Abstract: https://arxiv.org/abs/1909.06146 | |
| PubMedQA is 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 corresponding abstracts. PubMedQA | |
| has 1k expert-annotated, 61.2k unlabeled and 211.3k artificially generated QA | |
| instances. Each PubMedQA instance is composed of (1) a question which is either | |
| an existing research article title or derived from one, (2) a context which is | |
| the corresponding abstract without its conclusion, (3) a long answer, which is | |
| the conclusion of the abstract and, presumably, answers the research question, | |
| and (4) a yes/no/maybe answer which summarizes the conclusion. | |
| Homepage: https://pubmedqa.github.io/ | |
| ### Citation | |
| ``` | |
| @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 and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)}, | |
| pages={2567--2577}, | |
| year={2019} | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * Not part of a group yet | |
| #### Tasks | |
| * `pubmed_qa` | |
| ### Checklist | |
| For adding novel benchmarks/datasets to the library: | |
| * [ ] Is the task an existing benchmark in the literature? | |
| * [ ] Have you referenced the original paper that introduced the task? | |
| * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test? | |
| If other tasks on this dataset are already supported: | |
| * [ ] Is the "Main" variant of this task clearly denoted? | |
| * [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates? | |
| * [ ] Have you noted which, if any, published evaluation setups are matched by this variant? | |