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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 a follow-up work of [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
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- Yu, Aaron 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",