FB15k-237

FB15k-237 is a widely used benchmark dataset for evaluating link prediction and knowledge completion models in knowledge graphs. The dataset is extracted from the Freebase-15k (FB15k) dataset and contains 14,541 entities, 237 unique relations, and 272,115 triples (subject-predicate-object), and is divided into training, validation, and test sets. FB15k-237 is designed to reduce the test set leakage problem caused by inverse relations, and is mainly used for link prediction and knowledge completion tasks.FB15k-237 is a widely used benchmark dataset for evaluating link prediction and knowledge completion models in knowledge graphs. The dataset is extracted from the Freebase-15k (FB15k) dataset and contains 14,541 entities, 237 unique relationships, and 272,115 triples (subject-predicate-object), and is divided into a training set, a validation set, and a test set. The FB15k-237 is designed to reduce test set leakage due to inverse relationships and is primarily used for link prediction and knowledge completion tasks.

FB15k-237是一款广泛应用于知识图谱（Knowledge Graph）领域，用于评估链接预测与知识补全模型的基准数据集。该数据集提取自Freebase-15k（FB15k）数据集，包含14541个实体、237种唯一关系以及272115条三元组（Triples，主语-谓语-宾语），并被划分为训练集、验证集与测试集。FB15k-237的设计初衷是缓解由逆关系引发的测试集泄露问题，主要用于链接预测与知识补全任务。
FB15k-237是一款广泛应用于知识图谱（Knowledge Graph）领域，用于评估链接预测与知识补全模型的基准数据集。该数据集提取自Freebase-15k（FB15k）数据集，包含14541个实体、237种唯一关系以及272115条三元组（Triples，主语-谓语-宾语），并被划分为训练集、验证集与测试集。FB15k-237的设计目标是缓解由逆关系引发的测试集泄露问题，主要用于链接预测与知识补全任务。

搜集汇总

背景与挑战

背景概述

FB15k-237是一个广泛使用的知识图谱基准数据集，源自Freebase-15k，包含14,541个实体、237种关系和272,115个三元组，分为训练、验证和测试集。该数据集旨在减少逆关系导致的测试集泄漏，主要用于评估链接预测和知识补全模型的性能。