GeoVectors-Russia-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 "Russia" including the following countries: Russia <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语料库是一款面向开放街道地图（OpenStreetMap，https://www.openstreetmap.org/）实体嵌入的综合性大规模关联开放语料库，可生成超过9.8亿个实体的隐式表征。该语料库的GeoVectors嵌入捕捉了开放街道地图实体的语义与地理维度，可直接供机器学习应用使用。其中带"-tags"后缀的数据集提供捕捉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日的开放街道地图快照（© 开放街道地图贡献者）。我们按区域子集的形式提供GeoVectors嵌入，本次发布的子集为"俄罗斯"区域的地理嵌入向量，覆盖国家包含俄罗斯。【文件格式】嵌入向量以制表符分隔值（TSV，Tab-Separated Values）格式存储。每一行对应一个开放街道地图实体的嵌入向量：第一列为对应实体的开放街道地图类型，第二列为该实体的开放街道地图ID；实体类型可分为节点（node，缩写n）、路径（way，缩写w）与关系（relation，缩写r）三类。剩余列即为嵌入空间的各维度数值（详见header.tsv文件）。【更多信息】如需获取更多信息，请访问 http://geovectors.l3s.uni-hannover.de。【资助说明】本研究受德国研究基金会（DFG，German Research Foundation，项目"WorldKG"，编号DE 2299/2-1）、德国联邦教育与研究部（BMBF，项目"Simple-ML"，编号01IS18054）、德国联邦经济事务与能源部（BMWi，项目"d-E-mand"，编号01ME19009B）以及欧盟委员会（EU H2020，项目"smashHit"，资助编号871477）的部分资助。