ArgTersely

doi:doi:10.57702/t1vd6edo

ArgTersely

The ArgTersely dataset is a dataset for sentence-level counter-argument generation, which is used for the Counter-Argument Generation task in the AI-Debater 2023 Challenge.

BibTex:

@dataset{Jiayu_Lin_and_Guanrong_Chen_and_Bojun_Jin_and_Chenyang_Li_and_Shutong_Jia_and_Wancong_Lin_and_Yang_Sun_and_Yuhang_He_and_Caihua_Yang_and_Jianzhu_Bao_and_Jipeng_Wu_and_Wen_Su_and_Jinglu_Chen_and_Xinyi_Li_and_Tianyu_Chen_and_Mingjie_Han_and_Shuaiwen_Du_and_Zijian_Wang_and_Jiyin_Li_and_Fuzhong_Suo_and_Hao_Wang_and_Nuanchen_Lin_and_Xuanjing_Huang_and_Changjian_Jiang_and_Ruifeng_Xu_and_Ting_Jin_and_Zhongyu_Wei_2024,
    abstract = {The ArgTersely dataset is a dataset for sentence-level counter-argument generation, which is used for the Counter-Argument Generation task in the AI-Debater 2023 Challenge.},
    author = {Jiayu Lin and Guanrong Chen and Bojun Jin and Chenyang Li and Shutong Jia and Wancong Lin and Yang Sun and Yuhang He and Caihua Yang and Jianzhu Bao and Jipeng Wu and Wen Su and Jinglu Chen and Xinyi Li and Tianyu Chen and Mingjie Han and Shuaiwen Du and Zijian Wang and Jiyin Li and Fuzhong Suo and Hao Wang and Nuanchen Lin and Xuanjing Huang and Changjian Jiang and Ruifeng Xu and Ting Jin and Zhongyu Wei},
    doi = {10.57702/t1vd6edo},
    institution = {No Organization},
    keyword = {'Counter-argument generation', 'Sentence-level argumentation'},
    month = {dec},
    publisher = {TIB},
    title = {ArgTersely},
    url = {https://service.tib.eu/ldmservice/dataset/argtersely},
    year = {2024}
}