8 datasets found

ConceptNet-100K is a sub graph obtained from the Open Mind Common Sense (OMCS) entries in the ConceptNet5 dataset by Li et al. (2016). It contains 100,000 tuples as the training...

The dataset used in the paper is a knowledge graph dataset, specifically the Freebase dataset, which is a large-scale knowledge graph. The dataset is used for multi-hop path...

Knowledge graphs are composed of different elements: entity nodes, relation edges, and literal nodes. Each literal node contains an entity’s attribute value (e.g. the height of...

The dataset used in the paper is Wikidata, which contains a large number of entities and their corresponding semantic types.

DBpedia is a public knowledge graph which is derived from structured information in Wikipedia, mainly infoboxes.

Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al.,...

Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...