| | --- |
| | dataset_info: |
| | features: |
| | - name: instruction |
| | dtype: string |
| | - name: input |
| | dtype: string |
| | - name: output |
| | dtype: string |
| | license: apache-2.0 |
| | task_categories: |
| | - text-generation |
| | - question-answering |
| | language: |
| | - en |
| | size_categories: |
| | - 10K<n<100K |
| | tags: |
| | - medical |
| | --- |
| | |
| | This dataset is a subset of https://github.com/pubmedqa/pubmedqa. |
| |
|
| | 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. |
| |
|
| | ### Citation Information |
| |
|
| | ```tex |
| | @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} |
| | } |
| | ``` |
| |
|
