| | --- |
| | license: mit |
| | --- |
| | # P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains |
| | [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! |
| |
|
| | [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. |
| | P-FOLIO is built upon [FOLIO](https://huggingface.co/datasets/yale-nlp/FOLIO). |
| |
|
| | ## Citation |
| | ``` |
| | @inproceedings{han-etal-2024-p, |
| | title = "{P}-{FOLIO}: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains", |
| | author = "Han, Simeng and Yu, Aaron and many other authors and Xiong, Caiming and Radev, Dragomir and Ying, Rex and Cohan, Arman", |
| | editor = "Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung", |
| | booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024", |
| | month = nov, |
| | year = "2024", |
| | address = "Miami, Florida, USA", |
| | publisher = "Association for Computational Linguistics", |
| | url = "https://aclanthology.org/2024.findings-emnlp.966", |
| | pages = "16553--16565", |
| | } |
| | ``` |
