36 datasets found

Tags: Knowledge Graph

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  • Wiki20m

    The Wiki20m dataset is derived from Wiki20 by reorganizing its relation facts and redividing its training, validation, and test sets.
  • Wiki80

    The dataset used in the paper for zero-shot classification tasks in information extraction.
  • NYT10m

    The NYT10m dataset is a large-scale dataset derived from NYT10 by cleaning the dataset and separating the validation set from the training set.
  • ConceptNet-100K

    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...
  • SciGraph dataset

    The dataset is a scientific corpus extracted from SciGraph, a knowledge graph for scientific publications.
  • Road Sign Knowledge Graph

    Road Sign Knowledge Graph constructed with 845 US federal MUTCD sign templates
  • FB15K237 and WN18RR datasets

    The FB15K237 and WN18RR datasets are used for knowledge graph embedding research.
  • MTab

    The MTab dataset is a tabular data to knowledge graph matching dataset, focusing on three matching tasks: CEA, CTA, and CPA.
  • FB15k-237, WN18RR, CoDEx-L, and YAGO3-10

    Knowledge graph embedding dataset FB15k-237, WN18RR, CoDEx-L, and YAGO3-10
  • 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...
  • 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.
  • DSKG: A Deep Sequential Model for Knowledge Graph Completion

    Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of (subject, relation, object).
  • 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...
  • Location

    Location dataset contains 446 binary attributes, representing whether the user visited a certain region or location type.
  • Sport

    The Sport dataset is a knowledge graph dataset.
  • 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.
  • YAGO

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