logical-fallacy
logical-fallacyhttps://github.com/causalNLP/logical-fallacy
@article{jin2022logical,
title={Logical fallacy detection},
author={Jin, Zhijing and Lalwani, Abhinav and Vaidhya, Tejas and Shen, Xiaoyu and Ding, Yiwen and Lyu, Zhiheng and Sachan, Mrinmaya and Mihalcea, Rada and Sch{\"o}lkopf, Bernhard},
journal={arXiv preprint arXiv:2202.13758},
year={2022}
}
logical-fallacyhttps://github.com/causalNLP/logical-fallacy
@article{jin2022logical,
title={Logical fallacy detection},
author={Jin, Zhijing and Lalwani, Abhinav and Vaidhya, Tejas and Shen, Xiaoyu and Ding, Yiwen and Lyu, Zhiheng and Sachan, Mrinmaya and Mihalcea, Rada and Sch{\"o}lkopf, Bernhard},
journal={arXiv preprint arXiv:2202.13758},
year={2022}
}
logical-fallacycontrastive-pairs-for-logical-fallacy
Logical Fallacy Contrastive Pairs Dataset
703 high-quality contrastive pairs for training robust fallacy detectors
Dataset Description
This dataset contains 703 pairs of arguments where one contains a logical fallacy and the other presents valid reasoning. The pairs are designed to teach models the boundary between valid and fallacious reasoning through minimal contrastive differences.
All examples are synthetically generated using large language models (ChatGPT… See the full description on the dataset page: https://huggingface.co/datasets/Navy0067/contrastive-pairs-for-logical-fallacy.
