10 datasets found

Groups: Knowledge Graph Organizations: No Organization Formats: JSON

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  • 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.
  • 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.
  • 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...
  • Retrieval-Augmented Knowledge Editing for Multi-Hop Question Answering in Lan...

    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in question-answering tasks but often struggle to integrate real-time knowledge updates, leading to potentially outdated or...
  • SimpleQuestion dataset for Wikidata

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