The ARC, OBQA, and QASC datasets are not owned by us. We here share our reformatted versions of them for studying the OpenCSR problem, while we do not vouch for their quality or fairness, or claim that you have the right to redistribute them. It is your responsibility to determine whether you have permissions to use the datasets under their licenses.  Please check the licenses information on their official websites.

Please cite the papers of ARC, OBQA, and QASC as well as the OpenCSR if you use the data.

@article{clark2018think,
  title={Think you have solved question answering? try arc, the ai2 reasoning challenge},
  author={Clark, Peter and Cowhey, Isaac and Etzioni, Oren and Khot, Tushar and Sabharwal, Ashish and Schoenick, Carissa and Tafjord, Oyvind},
  journal={arXiv preprint arXiv:1803.05457},
  year={2018}
}

@inproceedings{mihaylov2018can,
    title = "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering",
    author = "Mihaylov, Todor  and Clark, Peter  and Khot, Tushar  and Sabharwal, Ashish",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    year = "2018"
}

@inproceedings{khot2020qasc,
  author    = {Tushar Khot and  Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},
  title     = {QASC: A Dataset for Question Answering via Sentence Composition},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI
               2020, New York, NY, USA, February 7-12, 2020},
  year      = {2020}
}

@inproceedings{lin-etal-2021-differentiable,
    title = "Differentiable Open-Ended Commonsense Reasoning",
    author = "Lin, Bill Yuchen and Sun, Haitian and Dhingra, Bhuwan and Zaheer, Manzil and Ren, Xiang and Cohen, William",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.366",
    pages = "4611--4625"
}