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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- summarization |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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## FacetSum dataset |
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**Due to the strict copyright restriction, the dataset is only available for non-commercial research use ONLY.** |
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**Currently it requires manual approval for access. Please send an email to [email protected], stating (1) Huggingface account name; (2) institute/company name; (3) the purpose of using this dataset.** |
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### FacetSum dataset |
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Paper: ACL 2021, [Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents](https://aclanthology.org/2021.acl-short.137.pdf) |
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Over 60k Emerald journal articles (long documents) with faceted summaries (purpose, method, findings, and value). |
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Train: 46,289 / Dev: 6,000 / Test: 6,000 / OA-Test: 2,243 |
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The code for scraping the Emerald full-text data can be found here: https://github.com/hfthair/emerald_crawler/ |
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``` |
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@inproceedings{meng2021facetsum, |
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title={Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents}, |
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author={Meng, Rui and Thaker, Khushboo and Zhang, Lei and Dong, Yue and Yuan, Xingdi and Wang, Tong and He, Daqing}, |
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booktitle={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)}, |
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pages={1080--1089}, |
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year={2021} |
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} |
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``` |
