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# P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
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[WIP]: We are working on the release of the dataset. Feel free to send us an [email](simeng.han@yale.edu) to stay in touch!
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P-FOLIO is a human-annotated dataset consisting of diverse and complex reasoning chains for a set of realistic logical reasoning stories also written by humans. P-FOLIO is collected with an annotation protocol that facilitates humans to annotate well-structured natural language proofs for first-order logic reasoning problems in a step-by-step manner.
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P-FOLIO is
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## Citation
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@inproceedings{han-etal-2024-p,
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title = "{P}-{FOLIO}: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains",
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author = "Han, Simeng and
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Shen, Rui and
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Qi, Zhenting and
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Riddell, Martin and
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Zhou, Wenfei and
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Qiao, Yujie and
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Zhao, Yilun and
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Yavuz, Semih and
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Liu, Ye and
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Joty, Shafiq and
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Zhou, Yingbo and
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Xiong, Caiming and
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Radev, Dragomir and
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Ying, Rex and
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Cohan, Arman",
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editor = "Al-Onaizan, Yaser and
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Bansal, Mohit and
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Chen, Yun-Nung",
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booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
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month = nov,
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year = "2024",
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# P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
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[WIP]: We are working on the release of the dataset. Feel free to send us an [email](simeng.han@yale.edu) to stay in touch!
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[P-FOLIO](https://aclanthology.org/2024.findings-emnlp.966) is a human-annotated dataset consisting of diverse and complex reasoning chains for a set of realistic logical reasoning stories also written by humans. P-FOLIO is collected with an annotation protocol that facilitates humans to annotate well-structured natural language proofs for first-order logic reasoning problems in a step-by-step manner.
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P-FOLIO is built upon [FOLIO](https://huggingface.co/datasets/yale-nlp/FOLIO).
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## Citation
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```
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@inproceedings{han-etal-2024-p,
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title = "{P}-{FOLIO}: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains",
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author = "Han, Simeng and Yu, Aaron and many other authors and Xiong, Caiming and Radev, Dragomir and Ying, Rex and Cohan, Arman",
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editor = "Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung",
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booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
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month = nov,
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year = "2024",
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