Densely Annotated Wikipedia Texts (DAWT) Dataset
Created by Spasojevic et al. at 2017, the Densely Annotated Wikipedia Texts (DAWT) Dataset contains a total of 13.6M articles across several languages: English, Spanish, Italian, German, French and Arabic. The annotations include labeled text mentions mapping to entities (represented by their Freebase machine ids) as well as the type of entity., in Multi-Lingual language. Containing 13.6M in JSON file format.
Dataset Sources
Here you can download the Densely Annotated Wikipedia Texts (DAWT) dataset in JSON format.
Download Densely Annotated Wikipedia Texts (DAWT) dataset JSON files
Fine-tune with Densely Annotated Wikipedia Texts (DAWT) dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original Densely Annotated Wikipedia Texts (DAWT) paper.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.