详细描述见:FB15K-237知识图谱数据集的介绍与分析,Freebase 文件列表 FB15K-237.2.zip FB15K-237.2.zip (139.45M) 下载 File Name Size Update Time Release/MSR-LA_Data_Full Rights_FB15K-237 Knowledge Base Completion Dataset (2650).docx 38520 2016-11-11 09:23:40 Release/README.txt 2864 2015-10...
This dataset contains knowledge base relation triples and textual mentions of Freebase entity pairs, as used in the work published in (Toutanova and Chen CVSM-2015) and (Toutanova et al. Last published: October 30, 2015.
提取自Freebase知识库,包含237个关系,14951个实体 用于图谱补全和链接预测等任务 数据集来源: [2015] Toutanova, K., and Chen, D. 2015. Observed Versus Latent Features for Knowledge Base and Text Inference. In Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality...
Complex Query Answering FB15k QTO Complex Query Answering FB15k-237 QTO Show all 9 benchmarks Papers Dataset Loaders AddRemove dmlc/dgl 13,818 pykeen/pykeen 1,771 bi-graph/emgraph 40 Tasks Similar Datasets FB15k-237 UMLS NELL-995
FB15k-237.zip评分: 数据集FB15k-237是Freebase的子集,包含237种关系和14k种实体。训练集中包含271,115条三元组,验证集中包含17,535条三元组,测试集中包含20,466条三元组。 知识图谱 数据2020-04-19 上传大小:3.00MB 所需:44积分/C币 知识图谱0123456.zip ...
构建成功后, 在**./transX/src/dataset_lib**.会出现train_dataset_lib.so 3.3.2. 启动训练脚本 你可以通过运行python脚本启动NPU进行训练: 没有预训练的模型 python train.py --config_path=/parth/to/model_config.yaml --dataset_root=/path/to/dataset 有预训练的模型 python train.py --config_path...
FB15K-237数据集 The orignal source of the dataset can be found [here](https://www.microsoft.com/en-us/download/details.aspx?id=52312) The dataset was released by [Toutanova and Chen](http://cs.stanford.edu/~danqi/papers/cvsc2015.pdf). ...
FB15k-237 is a link prediction dataset created from FB15k. While FB15k consists of 1,345 relations, 14,951 entities, and 592,213 triples, many triples are inverses that cause leakage from the training to testing and validation splits. FB15k-237 was created byToutanova and Chen (2015)to...