metadata
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 [email protected], 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
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}
}