five

Elgold intermediate: verified by verification team

收藏
DataCite Commons2025-07-18 更新2025-04-16 收录
下载链接:
https://mostwiedzy.pl/en/open-research-data/elgold-intermediate-verified-by-verification-team,82004050585598-0
下载链接
链接失效反馈
官方服务:
资源简介:
The dataset contains the texts from Elgold intermediate: annotated raw additionaly verified by the five-person verification team.  arly 25% of the mentions were corrected in some aspect. Each marked entity in the dataset is assigned to one of the following classes:EVENT - Named hurricanes, battles, wars, sports events, etc.FAC - Buildings, airports, highways, bridges, etc.GPE - Countries, cities, statesLANGUAGE - Any named languageLAW - Named documents made into laws.LOC - Non-GPE locations, mountain ranges, bodies of waterNORP - Nationalities or religious or political groupsORG - Companies, agencies, institutions, etc.PERSON - People, including fictionalPRODUCT - Objects, vehicles, foods, etc. (not services)WORK_OF_ART - Titles of books, songs, etc.DISEASE - Names of diseasesSUBSTANCE - Natural substancesSPECIE - Species names of animals, plants, viruses, etc. The marked entities are embedded directly in the textual files using the following syntax: {{mention content|entity class|Wikipedia target}} The "mention content" is a fragment of the textual file that was marked, "entity class" is the named entity class, and "Wikipedia target" is the normalized name of the English Wikipedia page describing the entity. If the entity cannot be linked sensibly to any article the target is empty but the second pipe (|) is preserved.  The annotated texts were not later verified by the dataset authors. It makes it a good resource for analyzing different understandings of named entity recognition tasks among the annotators.
提供机构:
Gdańsk University of Technology
创建时间:
2024-08-20
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