The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".
If you use the dataset or code in your research, please kindly cite our work:
@inproceedings{xu-etal-2020-matinf,
title = "{MATINF}: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization",
author = "Xu, Canwen and
Pei, Jiaxin and
Wu, Hongtao and
Liu, Yiyu and
Li, Chenliang",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.acl-main.330",
pages = "3586--3596",
}You can get MATINF dataset by signing the agreement on Google Form to request the access. You will get the download link and the zip password after filling the form. ALL USE MUST BE NON-COMMERCIAL!!
Please manually change the stage variable in main() to toggle from different training phases.
Then run:
python run.pyCode credit: Hongtao Wu