{
 "id": "JoeyCheng/story_analogy",
 "owner": "JoeyCheng",
 "name": "story_analogy",
 "downloads": 50,
 "likes": 1,
 "last_modified": "2024-04-13T07:08:00.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{jiayang2023storyanalogy,\n  title={StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding},\n  author={Jiayang, Cheng and Qiu, Lin and Chan, Tsz and Fang, Tianqing and Wang, Weiqi and Chan, Chunkit and Ru, Dongyu and Guo, Qipeng and Zhang, Hongming and Song, Yangqiu and others},\n  booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},\n  pages={11518--11537},\n  year={2023}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "d70152d3847927e15a2e741ee0c6839fcfc4cc89",
 "stated_evidence": "https://huggingface.co/datasets/JoeyCheng/story_analogy/blob/d70152d3847927e15a2e741ee0c6839fcfc4cc89/README.md",
 "file_evidence": "https://huggingface.co/datasets/JoeyCheng/story_analogy/tree/d70152d3847927e15a2e741ee0c6839fcfc4cc89",
 "card_nc": false
}