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--- |
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dataset_info: |
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features: |
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- name: instruction |
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dtype: string |
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- name: input |
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dtype: string |
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- name: output |
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dtype: string |
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license: apache-2.0 |
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task_categories: |
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- text-generation |
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- question-answering |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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tags: |
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- medical |
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--- |
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This dataset is a subset of https://github.com/pubmedqa/pubmedqa. |
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The training set is composed of 10,000 examples of the PQA-U dataset and the test set is composed of 1,000 examples of the PQA-L dataset. |
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### Citation Information |
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```tex |
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@inproceedings{jin2019pubmedqa, |
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title={PubMedQA: A Dataset for Biomedical Research Question Answering}, |
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author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua}, |
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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)}, |
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pages={2567--2577}, |
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year={2019} |
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} |
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``` |
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|
