24 datasets found

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  • SciGraph dataset

    The dataset is a scientific corpus extracted from SciGraph, a knowledge graph for scientific publications.

  • ConceptNet 5.5

    The ConceptNet 5.5 dataset is an open multilingual graph of general knowledge.

  • ConceptNet 5.53

    ConceptNet 5.53 is a knowledge graph that connects words and phrases of natural language with labelled edges.

  • Knowledge Graph-Enhanced Large Language Models via Path Selection

    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: Large Language Models Meet New Knowledge

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

  • Microsoft Academic Graph

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

  • YAGO2s

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

  • OpenCyc

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

  • Freebase

    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

    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

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

  • FVQA

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

  • YAGO

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

  • Wikipedia-SVO

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

  • YAGO3-10

    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...

  • Wikidata

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

  • DBpedia

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

  • FB15k-237

    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.,...

  • WN18RR

    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...

  • FB15K-YAGO15K

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