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Dataset Summary
Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks
LogiEval: a benchmark suite for testing logical reasoning abilities of instruct-prompt large language models
Licensing Information
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Citation Information
@ARTICLE{10174688, author={Liu, Hanmeng and Liu, Jian and Cui, Leyang and Teng, Zhiyang and Duan, Nan and Zhou, Ming and Zhang, Yue}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, title={LogiQA 2.0 — An Improved Dataset for Logical Reasoning in Natural Language Understanding}, year={2023}, volume={}, number={}, pages={1-16}, doi={10.1109/TASLP.2023.3293046}}
@misc{liu2023evaluating, title={Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4}, author={Hanmeng Liu and Ruoxi Ning and Zhiyang Teng and Jian Liu and Qiji Zhou and Yue Zhang}, year={2023}, eprint={2304.03439}, archivePrefix={arXiv}, primaryClass={cs.CL} }
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