GeoVectors-Central-America-location (v0.1)

<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 similarities of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic similarities of OpenStreetMap entities. The "-location" datasets provide the geographic similarities. <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 "Central-America" including the following countries: Bahamas Belize Cuba Guatemala Haiti-and-Domrep Jamaica Nicaragua <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).**描述**：GeoVectors语料库是一款大规模综合性开放街道地图（OpenStreetMap）实体嵌入关联开放语料库，涵盖超过9.8亿个实体的潜在表征。该语料库可捕捉开放街道地图实体的语义与地理相似性，供机器学习应用直接调用。带"-tags"后缀的数据集提供用于表征开放街道地图实体语义相似性的嵌入向量；带"-location"后缀的数据集则提供用于表征地理相似性的嵌入向量。 **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）。我们按区域分块提供GeoVectors语料库，本次分块包含"中美洲"区域的位置嵌入向量，覆盖以下国家：巴哈马、伯利兹、古巴、危地马拉、海地及多米尼加、牙买加、尼加拉瓜。 **文件格式**：嵌入向量以制表符分隔值（tsv）格式提供。每一行对应一个开放街道地图实体的嵌入向量：第一列为实体所属的开放街道地图类型，第二列为对应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，剩余列则为嵌入空间的各维度数值（详见header.tsv文件）。 **更多信息**：如需获取进一步详情，请访问 http://geovectors.l3s.uni-hannover.de **资助**：本研究受德国研究基金会（DFG，German Research Foundation，项目编号"WorldKG"，DE 2299/2-1）、德国联邦教育与研究部（BMBF，项目编号"Simple-ML"，01IS18054）、德国联邦经济事务与能源部（BMWi，项目编号"d-E-mand"，01ME19009B）以及欧盟委员会（EU H2020框架下的"smashHit"项目，资助编号871477）的部分资助。