Tweet geolocation 5m

Tweet-geolocation-5m is a dataset with more than 5 million geolocated tweets with detailed geolocation information associated. Each geolocated tweet is associated with its fine-grained location information, collected from OpenStreetMap [1] using the reverse geocoding feature in Nominatim [2]. It was originally created for country-level classification of tweets, but finer-grained classification is also provided with the dataset. The country codes are provided using the ISO 3166-1 alpha-2 standard [3].<br>The dataset was collected in two different week long periods: TC2014, collected in October 2014, and TC2015, collected in October 2015.<br>Two files are provided here:* tweet-geolocation-5m.tar.bz2, which is the actual datasets, providing the tweet IDs and ground truth country IDs that enable conducting further experiments.* vectors-and-folds.tar.bz2, which is provided for the purposes of reproducibility. With the information provided in this file, you should be able to reproduce the results we presented in the paper.

Tweet-geolocation-5m 是一款包含超500万条已地理定位推文的数据集，每条推文均关联有精细粒度的位置信息。该数据集的位置信息通过Nominatim[2]的逆地理编码（reverse geocoding）功能，从开放街道地图（OpenStreetMap）[1]采集获取。本数据集最初为推文的国家层级分类任务而构建，但同时也提供了精细粒度的分类标注。国家代码采用ISO 3166-1 alpha-2标准[3]进行标注。
该数据集的采集分为两个为期一周的阶段：分别为2014年10月采集的TC2014，以及2015年10月采集的TC2015。
本次共提供两份数据文件：
* tweet-geolocation-5m.tar.bz2：为核心数据集，包含推文ID与基准真实标签（ground truth）国家ID，可用于开展后续实验研究。
* vectors-and-folds.tar.bz2：用于保障实验可复现性，依托该文件中的信息即可复现论文中展示的实验结果。

搜集汇总

背景与挑战

背景概述

该数据集包含超过500万条带有精细地理位置信息的推文，适用于地理位置相关的分类研究。数据集分为两个部分：推文ID和国家ID数据，以及用于重现研究结果的辅助数据。