README.md

---
dataset_info:
  features:
  - name: query
    dtype: string
  - name: choices
    sequence: string
  - name: gold
    sequence: int64
  splits:
  - name: test
    num_bytes: 1136305
    num_examples: 269
  download_size: 322710
  dataset_size: 1136305
license: mit
---
# Dataset Card for "agieval-lsat-rc"

Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.

Raw datset: https://github.com/zhongwanjun/AR-LSAT

MIT License

Copyright (c) 2022 Wanjun Zhong

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

@misc{zhong2023agieval,
      title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}, 
      author={Wanjun Zhong and Ruixiang Cui and Yiduo Guo and Yaobo Liang and Shuai Lu and Yanlin Wang and Amin Saied and Weizhu Chen and Nan Duan},
      year={2023},
      eprint={2304.06364},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{zhong2021arlsat,
      title={AR-LSAT: Investigating Analytical Reasoning of Text}, 
      author={Wanjun Zhong and Siyuan Wang and Duyu Tang and Zenan Xu and Daya Guo and Jiahai Wang and Jian Yin and Ming Zhou and Nan Duan},
      year={2021},
      eprint={2104.06598},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{wang2022lsat,
  title={From lsat: The progress and challenges of complex reasoning},
  author={Wang, Siyuan and Liu, Zhongkun and Zhong, Wanjun and Zhou, Ming and Wei, Zhongyu and Chen, Zhumin and Duan, Nan},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2022},
  publisher={IEEE}
}