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

Automatic Question-Answer Generation for Long-Tail Knowledge

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 FB15K-YAGO15K dataset is a benchmark for multi-modal entity alignment.

The FB15K-DB15K dataset is an entity alignment dataset of FB15K and DB15K MMKGs.

The dataset used in the paper for entity alignment, consisting of eight knowledge graphs with various languages.

A dataset for relation extraction, containing 53 relation categories, including a negative relation.

A dataset for relation extraction, containing 454 target relation categories, including the negative relation.

A new dataset Wikidata68K is created taking Wikidata5M as raw data. The pipeline developed to create this dataset is inspired by [7] and is constituted of the following steps.

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