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README.md
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task_categories:
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- text-generation
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pretty_name: RecipePairs
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---
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task_categories:
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- text-generation
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pretty_name: RecipePairs
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dataset_info:
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- config_name: 1.0.0
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splits:
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- name: train
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num_examples: 82707
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- name: dev
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num_examples: 1096
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- name: test
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num_examples: 1011
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---
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RecipePairs dataset from the 2022 EMNLP paper: "SHARE: a System for Hierarchical Assistive Recipe Editing"
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If you would like to use this data or found it useful in your work/research, please cite the following papers:
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```
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@inproceedings{DBLP:conf/emnlp/LiLNM22,
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author = {Shuyang Li and
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Yufei Li and
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Jianmo Ni and
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Julian J. McAuley},
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editor = {Yoav Goldberg and
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Zornitsa Kozareva and
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Yue Zhang},
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title = {{SHARE:} a System for Hierarchical Assistive Recipe Editing},
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booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural
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Language Processing, {EMNLP} 2022, Abu Dhabi, United Arab Emirates,
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December 7-11, 2022},
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pages = {11077--11090},
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publisher = {Association for Computational Linguistics},
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year = {2022},
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url = {https://aclanthology.org/2022.emnlp-main.761},
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timestamp = {Tue, 07 Feb 2023 17:10:51 +0100},
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biburl = {https://dblp.org/rec/conf/emnlp/LiLNM22.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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@inproceedings{DBLP:conf/emnlp/MajumderLNM19,
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author = {Bodhisattwa Prasad Majumder and
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Shuyang Li and
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Jianmo Ni and
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Julian J. McAuley},
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editor = {Kentaro Inui and
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Jing Jiang and
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Vincent Ng and
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Xiaojun Wan},
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title = {Generating Personalized Recipes from Historical User Preferences},
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booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural
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Language Processing and the 9th International Joint Conference on
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Natural Language Processing, {EMNLP-IJCNLP} 2019, Hong Kong, China,
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November 3-7, 2019},
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pages = {5975--5981},
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publisher = {Association for Computational Linguistics},
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year = {2019},
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url = {https://doi.org/10.18653/v1/D19-1613},
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doi = {10.18653/v1/D19-1613},
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timestamp = {Thu, 07 Apr 2022 09:14:07 +0200},
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biburl = {https://dblp.org/rec/conf/emnlp/MajumderLNM19.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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