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--- |
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task_categories: |
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- question-answering |
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language: |
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- en |
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tags: |
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- medical |
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pretty_name: LiveQAMedical |
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size_categories: |
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- n<1K |
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--- |
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# Dataset Card for LiveQA Medical from TREC 2017 |
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The LiveQA'17 medical task focuses on consumer health question answering. Consumer health questions were received by the U.S. National Library of Medicine (NLM). |
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The dataset consists of constructed medical question-answer pairs for training and testing, with additional annotations that can be used to develop question analysis and question answering systems. |
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Please refer to our overview paper for more information about the constructed datasets and the LiveQA Track: |
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Asma Ben Abacha, Eugene Agichtein, Yuval Pinter & Dina Demner-Fushman. Overview of the Medical Question Answering Task at TREC 2017 LiveQA. TREC, Gaithersburg, MD, 2017 (https://trec.nist.gov/pubs/trec26/papers/Overview-QA.pdf). |
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**Homepage:** [https://github.com/abachaa/LiveQA_MedicalTask_TREC2017](https://github.com/abachaa/LiveQA_MedicalTask_TREC2017) |
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## Medical Training Data |
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The dataset provides 634 question-answer pairs for training: |
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1) TREC-2017-LiveQA-Medical-Train-1.xml => 388 question-answer pairs corresponding to 200 NLM questions. |
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Each question is divided into one or more subquestion(s). Each subquestion has one or more answer(s). |
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These question-answer pairs were constructed automatically and validated manually. |
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2) TREC-2017-LiveQA-Medical-Train-2.xml => 246 question-answer pairs corresponding to 246 NLM questions. |
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Answers were retrieved manually by librarians. |
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**You can access them as jsonl** |
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The datasets are not exhaustive with regards to subquestions, i.e., some subquestions might not be annotated. |
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Additional annotations are provided for both (i) the Focus and (ii) the Question Type used to define each subquestion. |
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23 question types were considered (e.g. Treatment, Cause, Diagnosis, Indication, Susceptibility, Dosage) related to four focus categories: Disease, Drug, Treatment and Exam. |
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## Medical Test Data |
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Test split can be easily downloaded via huggingface. |
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Test questions cover 26 question types associated with five focus categories. |
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Each question includes one or more subquestion(s) and at least one focus and one question type. |
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Reference answers were selected from trusted resources and validated by medical experts. |
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At least one reference answer is provided for each test question, its URL and relevant comments. |
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Question paraphrases were created by assessors and used with the reference answers to judge the participants' answers. |
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``` |
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If you use these datasets, please cite paper: |
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@inproceedings{LiveMedQA2017, |
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author = {Asma {Ben Abacha} and Eugene Agichtein and Yuval Pinter and Dina Demner{-}Fushman}, |
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title = {Overview of the Medical Question Answering Task at TREC 2017 LiveQA}, |
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booktitle = {TREC 2017}, |
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year = {2017} |
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} |
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``` |
