Wikidata5M
Introduced by Wang et al. in KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Wikidata5m is a million-scale knowledge graph dataset with aligned corpus. This dataset integrates the Wikidata knowledge graph and Wikipedia pages. Each entity in Wikidata5m is described by a corresponding Wikipedia page, which enables the evaluation of link prediction over unseen entities.
The dataset is distributed as a knowledge graph, a corpus, and aliases. We provide both transductive and inductive data splits used in the original paper.
Benchmarks
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Wikidata5M
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KGT5-context + Description
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Papers
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