Abstract: The massively ever increasing amount of textual and linked biomedical data available online poses many challenges for information seekers. So, the focus of information retrieval community has shifted to precise information retrieval, i.e. providing exact answer to a user question. In recent years, many datasets related to Biomedical Question Answering (BioQA) have emerged which the researchers can use to evaluate the performance of their systems. We reviewed these biomedical datasets and analyzed their characteristics. The survey in this paper covers these datasets for BioQA and has a two fold purpose: to provide an overview of the available datasets in this domain and to help researchers select the most suitable dataset for benchmarking their system.

Muhammad Wasim, Dr. Waqar Mahmood and Dr. Usman Ghani Khan, “A Survey of Datasets for Biomedical Question Answering Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080767

@article{Wasim2017,
title = {A Survey of Datasets for Biomedical Question Answering Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080767},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080767},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Muhammad Wasim and Dr. Waqar Mahmood and Dr. Usman Ghani Khan}
}