five

PAN18 Author Identification: Attribution

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://zenodo.org/record/3737684
下载链接
链接失效反馈
官方服务:
资源简介:
We provide a corpus which comprises a set of cross-domain authorship attribution problems in each of the following 5 languages: English, French, Italian, Polish, and Spanish. Note that we specifically avoid to use the term 'training corpus' because the sets of candidate authors of the development and the evaluation corpora are not overlapping. Therefore, your approach should not be designed to particularly handle the candidate authors of the development corpus. Each problem consists of a set of known fanfics by each candidate author and a set of unknown fanfics located in separate folders. The file problem-info.json that can be found in the main folder of each problem, shows the name of folder of unknown documents and the list of names of candidate author folders. The true author of each unknown document can be seen in the file ground-truth.json, also found in the main folder of each problem. In addition, to handle a collection of such problems, the file collection-info.jsonincludes all relevant information. In more detail, for each problem it lists its main folder, the language (either "en", "fr", "it", "pl", or "sp") and encoding (always UTF-8) of its documents. More information: Link
创建时间:
2022-06-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作