21 datasets found

Two datasets, MetaQA and FACTKG, are used to evaluate the effectiveness of the proposed method KELP. MetaQA is a critical benchmark dataset containing subsets of questions with...

ALCUNA is a benchmark for evaluating the ability of large language models (LLMs) to handle new knowledge.

The Microsoft Academic Graph (MAG) dataset is used to construct Maple, a multi-field benchmark for evaluating scientific literature tagging.

The dataset used in the paper is a large-scale Knowledge Base (KB) containing millions of entities and billions of facts.

The dataset used in the paper is a large-scale Knowledge Base (KB) containing millions of entities and billions of facts.

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...

Probase is a probabilistic knowledge base and it contains millions of entities and concepts. One of the advantages of Probase is that in comparison with the well-known knowledge...

Microsoft Concept Graph is a knowledge graph that provides common-sense computing capabilities and an awareness of a human's mental world.

FVQA is a fact-based visual question answering dataset, containing 2190 images and 5826 (question, answer) pairs, with supporting facts selected from knowledge bases.

The dataset is used for multi-relational learning tasks, such as link prediction, RDF mining, entity linking, recommender systems, and natural language processing.

The dataset is used for multi-relational learning tasks, such as link prediction, RDF mining, entity linking, recommender systems, and natural language processing.

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 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.

ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that relates the meanings of words and phrases.

Large Language Models (LLMs) have shown proficiency in question-answering tasks but often struggle to integrate real-time knowledge updates, leading to potentially outdated or...