
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
- **Repository:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
- **Paper:** https://ieeexplore.ieee.org/abstract/document/10174688

### 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}
}
task_categories:multiple-choice language:en language:zh license:cc-by-sa-4.0 arxiv:2304.03439 region:us
{"language": ["en", "zh"], "license": "cc-by-sa-4.0", "task_categories": ["multiple-choice"], "pretty_name": "LogiQA2.0", "data_splits": ["train", "validation", "test"]}
TAGS
#task_categories-multiple-choice #language-English #language-Chinese #license-cc-by-sa-4.0 #arxiv-2304.03439 #region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Homepage: URL URL
- Repository: URL URL
- Paper: URL

### 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.



@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}
}
# Dataset Card for Dataset Name ## Dataset Description

- Homepage: URL URL
- Repository: URL URL
- Paper: URL ### 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.



@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}
}
TAGS
#task_categories-multiple-choice #language-English #language-Chinese #license-cc-by-sa-4.0 #arxiv-2304.03439 #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage: URL URL
- Repository: URL URL
- Paper: URL ### 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.



@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}
}