| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - summarization |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| ## FacetSum dataset |
|
|
| **Due to the strict copyright restriction, the dataset is only available for non-commercial research use ONLY.** |
|
|
| **Currently it requires manual approval for access. Please send an email to memray0@gmail.com, stating (1) Huggingface account name; (2) institute/company name; (3) the purpose of using this dataset.** |
|
|
|
|
| ### FacetSum dataset |
|
|
| Paper: ACL 2021, [Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents](https://aclanthology.org/2021.acl-short.137.pdf) |
|
|
| Over 60k Emerald journal articles (long documents) with faceted summaries (purpose, method, findings, and value). |
|
|
| Train: 46,289 / Dev: 6,000 / Test: 6,000 / OA-Test: 2,243 |
|
|
| The code for scraping the Emerald full-text data can be found here: https://github.com/hfthair/emerald_crawler/ |
| |
| |
| ``` |
| @inproceedings{meng2021facetsum, |
| title={Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents}, |
| author={Meng, Rui and Thaker, Khushboo and Zhang, Lei and Dong, Yue and Yuan, Xingdi and Wang, Tong and He, Daqing}, |
| 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)}, |
| pages={1080--1089}, |
| year={2021} |
| } |
| ``` |
