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Baselines of the RACE Reading Comprehension Dataset
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README.md

RACE Reading Comprehension Task

Code for the paper: RACE: Large-scale ReAding Comprehension Dataset From Examination. Guokun Lai*, Qizhe Xie*, Hanxiao Liu, Yiming Yang and Eduard Hovy. EMNLP 2017

Leaderboard of RACE

Dependencies

  • Python 2.7
  • Theano >= 0.7
  • Lasagne 0.2.dev1

Datasets

  • RACE: Please submit a data request here. The data will be automatically sent to you. Create a "data" directory alongside "src" directory and download the data.

  • Word embeddings:

Usage

Preprocessing

* python preprocess.py

Stanford AR

* test pre-trained model: bash test_SAR.sh
* train: bash train_SAR.sh (The pre-trained model will be replaced)

GA

* test pre-trained model: bash test_GA.sh
* train: bash train_GA.sh (The pre-trained model will be replaced)

Reference

@inproceedings{lai2017large,
  title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},
  author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},
  booktitle={EMNLP},
  year={2017}
}

Acknowledgement

Contact

  • Please contact Qizhe Xie (qzxie AT cs DOT cmu DOT edu) if you find bugs or missing info

License

MIT

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