tsafavi/codex
CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
This project offers comprehensive datasets for those working with knowledge graphs, providing structured information extracted from Wikidata and Wikipedia. It takes raw knowledge graph data and provides enriched datasets, including positive and hard negative examples, entity types, and descriptions, along with pre-trained models. Researchers and practitioners in knowledge graph analysis and machine learning would use this to train and evaluate models for tasks like predicting missing links or classifying relationships within large datasets.
172 stars. No commits in the last 6 months.
Use this if you need robust, pre-processed knowledge graph datasets with rich entity and relation information for training and evaluating machine learning models on tasks like link prediction or triple classification.
Not ideal if you are looking for a tool to build or manage a knowledge graph from scratch, or if your primary interest is in real-time querying rather than analytical model development.
Stars
172
Forks
26
Language
Python
License
MIT
Category
Last pushed
Aug 01, 2024
Commits (30d)
0
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