memray/FacetSum

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}
}