Elgold intermediate: annotated raw

The dataset contains a subset of texts from Elgold intermediate: raw texts with named entities marked and linked to corresponding Wikipedia articles. The texts were annotated by 31 participants during the 1.5-hour session.
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.