1. 首页
  2. 人工智能
  3. 深度学习
  4. NELL-995 知识图谱 数据集

NELL-995 知识图谱 数据集

上传者: 2018-12-08 05:25:04上传 ZIP文件 826.58MB 热度 1388次
Format of the dataset raw.kb: the raw kb data from NELL system kb_env_rl.txt: we add inverse triples of all triples in raw.kb, this file is used as the KG for reasoning entity2vec.bern/relation2vec.bern: transE embeddings to represent out RL states, can be trained using TransX implementations by thunlp tasks/: each task is a particular reasoning relation tasks/${relation}/*.vec: trained TransH Embeddings tasks/${relation}/*.vec_D: trained TransD Embeddings tasks/${relation}/*.bern: trained TransR Embedding trained tasks/${relati on}/*.unif: trained TransE Embeddings tasks/${relation}/transX: triples used to train the KB embeddings tasks/${relation}/train.pairs: train triples in the PRA format tasks/${relation}/test.pairs: test triples in the PRA format tasks/${relation}/path_to_use.txt: reasoning paths found the RL agent tasks/${relation}/path_stats.txt: path frequency of randomised BFS
用户评论