uridr/GTWiki
Dataset for the paper: "A multi-task semi-supervised framework for Text2Graph & Graph2Text"
This dataset provides a collection of English text snippets and corresponding knowledge graphs derived from Wikipedia and Wikidata. It's designed for researchers and machine learning engineers working on systems that convert natural language into structured knowledge representations (like graphs) or generate natural language from existing graphs. You input raw text or knowledge graph triples, and the project aids in training models to produce the alternative format.
No commits in the last 6 months.
Use this if you need a non-parallel dataset to train or evaluate models for converting text into structured graphs or vice versa, especially in an unsupervised or semi-supervised setting.
Not ideal if you require a parallel dataset where each text snippet has a directly corresponding, manually annotated graph, or if your domain is not covered by Wikipedia/Wikidata.
Stars
25
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Language
Python
License
MIT
Category
Last pushed
Feb 19, 2022
Commits (30d)
0
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