RefEx Project - Dataset and Gold Standard

The files represent the new version of Cioffi, A. (2022) Data for Testing and Evaluating References Extraction and Parsing Tools (1.0) https://doi.org/10.5281/zenodo.6182066. The 56 files of Cioffi, 2022 were corrected and additional 56 PDFs were manually annotated and aligned to the project guidelines. The TEI files of the whole dataset (112 documents) can be found under GoldStandard_TEI zip folder, while the PDFs are in GoldStandard_PDF folder.GoldStandard.txt contains the list of the bibliographic references of each article. When an entry is marked as "Restricted", it means the correspondent PDF is not in Open Access format, thus it is not shared in the present publication and cannot be found in the GoldStandard_PDF folder, the other Open Access papers are shared in it.The code can be found at Pagnotta (2024). olgagolgan/RefEx: RefEx project code (code). Zenodo. https://doi.org/10.5281/zenodo.10468608. The output dataset of Anystyle, GROBID and OUTCITE can be found here Pagnotta, O (2024). RefEx Project - Output Dataset (Anystyle, GROBID, OUTCITE) (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10524898 The annotated training dataset for GROBID can be found here Pagnotta, O. (2024). RefEx Project - GROBID annotation aligned Gold Standard (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10529646 The trained GROBID citation models can be found here Pagnotta, O. (2024). RefEx Project - trained GROBID citation models. Zenodo. https://doi.org/10.5281/zenodo.10529709. Some results can be found here Pagnotta, O. (2023). Investigating the performance of GROBID and OUTCITE (Version v1). Zenodo. https://doi.org/10.5281/zenodo.10036455 The work is part of my Thesis research for the Digital Humanities and Digital Knowledge Master's Course at University of Bologna.本数据集为Cioffi, A.（2022）发布的《用于参考文献提取与解析工具的测试与评估数据（1.0版）》（DOI链接：https://doi.org/10.5281/zenodo.6182066）的更新版本。原Cioffi 2022年数据集包含的56份文件已完成校正，同时新增56份经人工标注并符合项目规范的PDF文件。 完整数据集（共112份文档）的TEI（Text Encoding Initiative）文件可于GoldStandard_TEI压缩文件夹中获取，PDF文件则存放于GoldStandard_PDF文件夹内。GoldStandard.txt文件收录了每篇文章的参考文献列表。 若某条条目被标记为"Restricted"，则代表其对应的PDF文件并非开放获取（Open Access）格式，因此未随本数据集一同发布，且无法在GoldStandard_PDF文件夹中找到；其余开放获取的论文文件均可在此文件夹中获取。 本项目的代码可于Pagnotta（2024）发布的olgagolgan/RefEx: RefEx项目代码中获取，其存放于Zenodo平台，DOI链接为https://doi.org/10.5281/zenodo.10468608。 Anystyle、GROBID与OUTCITE的输出数据集可于Pagnotta, O（2024）发布的《RefEx项目——输出数据集（Anystyle、GROBID、OUTCITE）（版本1）》[数据集]中获取，该数据集存放于Zenodo平台，DOI链接为https://doi.org/10.5281/zenodo.10524898。 用于GROBID的标注训练数据集可于Pagnotta, O.（2024）发布的《RefEx项目——与金标准对齐的GROBID标注数据集（版本1）》[数据集]中获取，存放于Zenodo平台，DOI链接为https://doi.org/10.5281/zenodo.10529646。 已训练完成的GROBID引文模型可于Pagnotta, O.（2024）发布的《RefEx项目——训练完成的GROBID引文模型》中获取，存放于Zenodo平台，DOI链接为https://doi.org/10.5281/zenodo.10529709。 部分相关研究结果可于Pagnotta, O.（2023）发布的《GROBID与OUTCITE性能研究（版本v1）》中获取，存放于Zenodo平台，DOI链接为https://doi.org/10.5281/zenodo.10036455。 本研究为本人在博洛尼亚大学数字人文与数字知识硕士学位课程中的学位论文研究的一部分。