Glad to be awarded as an outstanding paper award and area chair award. The datasets for our ACL 2024 paper: "CHECKWHY: Causal Fact Verification via Argument Structure." is included in: https://drive.google.com/drive/folders/1jHk1k4UpoyuuvEChRbcrVSZj-QPXM0N-?usp=drive_link
Note: we provide the train.json and dev.json in this repo. If you need the test.json, please email me: jiashengsi@qlu.edu.cn
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2 Classes:
train.jsondev.jsontest.json
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3 Classes (Including 'Not Enough Info'):
train_nei.jsondev_nei.jsontest_nei.json
checkwhy-id: The ID of the dataset.evidences:evidence_id: ID of the evidence.useful: Whether this evidence is useful for verification.leaf: Whether this evidence is a leaf node in the argument structure.
argument_structure: The output for Task 3.code_out: The output for Task 4.
Please cite our paper if you use CHECKWHY or the datasets we provided in your work:
@inproceedings{si-etal-2024-checkwhy,
title = "{CHECKWHY}: Causal Fact Verification via Argument Structure",
author = "Si, Jiasheng and
Zhao, Yibo and
Zhu, Yingjie and
Zhu, Haiyang and
Lu, Wenpeng and
Zhou, Deyu",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-long.835",
doi = "10.18653/v1/2024.acl-long.835",
pages = "15636--15659",
}