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- ---
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- language:
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- - en
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- - zh
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- license: cc-by-sa-4.0
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- task_categories:
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- - multiple-choice
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- pretty_name: LogiQA2.0
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- data_splits:
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- - train
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- ---
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-
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- # Dataset Card for Dataset Name
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-
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- ## Dataset Description
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-
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- - **Homepage:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
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- - **Repository:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
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- - **Paper:** https://ieeexplore.ieee.org/abstract/document/10174688
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-
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- ### Dataset Summary
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-
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- Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks
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-
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- LogiEval: a benchmark suite for testing logical reasoning abilities of instruct-prompt large language models
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-
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- ### Licensing Information
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-
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- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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-
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- ### Citation Information
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-
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- @ARTICLE{10174688,
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- author={Liu, Hanmeng and Liu, Jian and Cui, Leyang and Teng, Zhiyang and Duan, Nan and Zhou, Ming and Zhang, Yue},
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- journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
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- title={LogiQA 2.0 — An Improved Dataset for Logical Reasoning in Natural Language Understanding},
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- year={2023},
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- volume={},
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- number={},
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- pages={1-16},
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- doi={10.1109/TASLP.2023.3293046}}
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-
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- @misc{liu2023evaluating,
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- title={Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4},
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- author={Hanmeng Liu and Ruoxi Ning and Zhiyang Teng and Jian Liu and Qiji Zhou and Yue Zhang},
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- year={2023},
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- eprint={2304.03439},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}
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- }