GeoVectors-Great-Britain-location (v1.0)

<strong>Description</strong> The GeoVectors corpus is a comprehensive large-scale linked open corpus of OpenStreetMap (https://www.openstreetmap.org/) entity embeddings that provides latent representations of over 980 million entities. The GeoVectors capture the semantic and geographic dimensions of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic dimension of OpenStreetMap entities. The "-location" datasets provide the geographic dimension. <strong>Contents</strong> This dataset was derived from an OpenStreetMap snapshot that was taken on November 10, 2020 (© OpenStreetMap contributors). We provide the GeoVectors in region-specific subsets. This subset contains location-embeddings for the region "Great-britain" including the following countries: Great-Britain <strong>File format</strong> The embeddings are provided in the tab-separated values (tsv) format. Each row contains the embedding of a single OpenStreetMap entity. The first column contains the OpenStreetMap type and the second column contains the OpenStreetMap id of the respective entity. The type can either be node (n), way (w), or relation (r). The remaining columns represent the dimensions of the embedding space. (See also header.tsv) <strong>Further information:</strong> For further information, please visit http://geovectors.l3s.uni-hannover.de <strong>Funding</strong>: This work was partially funded by DFG, German Research Foundation (“WorldKG", DE 2299/2-1), the Federal Ministry of Education and Research (BMBF), Germany (“Simple-ML", 01IS18054), the Federal Ministry for Economic Affairs and Energy (BMWi), Germany (“d-E-mand", 01ME19009B), and the European Commission (EU H2020, “smashHit", grant-ID 871477).### 数据集描述 GeoVectors语料库是一款大规模、综合性的链接式开放语料库，基于OpenStreetMap（https://www.openstreetmap.org/）实体嵌入构建，涵盖超过9.8亿个实体的隐式表征。该语料库可捕捉OpenStreetMap实体的语义与地理维度特征，并可直接供机器学习应用调用。其中带"-tags"后缀的数据集用于提供捕捉OpenStreetMap实体语义维度的嵌入向量，带"-location"后缀的数据集则提供地理维度的嵌入向量。 ### 数据集内容 本数据集源自2020年11月10日的OpenStreetMap快照（© OpenStreetMap贡献者）。我们按区域划分提供GeoVectors子集，本次发布的子集包含"大不列颠"区域的位置嵌入，覆盖国家为大不列颠。 ### 文件格式 嵌入向量以制表符分隔值（TSV，Tab-Separated Values）格式存储。每一行对应一个OpenStreetMap实体的嵌入向量：第一列为OpenStreetMap实体类型，第二列为对应实体的OpenStreetMap ID，实体类型可为节点（node，缩写n）、路径（way，缩写w）或关系（relation，缩写r），剩余列即为嵌入空间的各维度数值（详细说明请参见header.tsv文件）。 ### 更多信息 如需获取更多相关信息，请访问：http://geovectors.l3s.uni-hannover.de ### 资助信息 本研究工作部分受德国研究基金会（DFG，German Research Foundation）"WorldKG"项目（编号DE 2299/2-1）、德国联邦教育与研究部（BMBF）"Simple-ML"项目（编号01IS18054）、德国联邦经济事务与能源部（BMWi）"d-E-mand"项目（编号01ME19009B）以及欧盟委员会"smashHit"项目（欧盟地平线2020计划，资助编号871477）资助。