ABC2018 dataset

This is the dataset for the competition ABC2018. The competition website is:https://competitions.codalab.org/competitions/16283 File A zip file contains all the training and test trajectories, and a ground truth label file for the training set. When you unzip the dataset, you find ./test/***.csv./train/***.csv./train_labels.csvwhere *** is the trajectory number (000, 001, ..., 630 for train, 000, 001, ..., 274 for test). TaskClassifying GPS trajectories of birds into male or female Trajectory file format A single CSV file (000.csv, 001.csv, ...) contains a trajectory of a trip, and each line represents the information of a GPS location of a shearwater. In addition to longitude and latitude, some other information is provided; elapsed time and local clock time, solar azimuth and elevation angles. - float: longitude- float: latitude- float: sun azimuth [degree] clockwise from the North- float: sun elevation [degree] upward from the horizon- int: (1) daytime (between sunrise and sunset), or (0) nighttime- int: elapsed time [second] after starting the trip- clock: local time (hh:mm:ss)- int: days (starts from 0, and increments by 1 when the local time passes 23:59:59) Float values are of the format %.5f, and fields are separated by a single comma. Here is an example: =================139.29220,38.56632,76.42170,-4.45122,0,0,04:54:03,0139.29300,38.56763,76.58196,-4.25726,0,60,04:55:03,0139.29400,38.57053,76.73674,-4.06880,0,118,04:56:01,0139.29620,38.57563,76.89729,-3.87201,0,178,04:57:01,0...================= - Different trajectories have different number of GPS locations.- The time interval between successive two GPS locations is approximately one minute (60 seconds) when GPS works well, otherwise interval may vary from one to several minutes, even hours and days.- Trajectories in the training and test sets are in the same format.- Ground truth labels for the training set are given in a separate file. Labels: gender, or male/female A single txt file of ground truth labels of the training set is provided. Each line has the label of the corresponding training trajectory; that is, line 0 is the label of the training trajectory file 000.csv. Label is binary (character): - male: 0- female: 1 Here is an example: =================1110100...================= Stats: Numbers of the dataset Training set- 326 male trajectories- 305 female trajectories- 631 in total Test set- 275 trajectories DisclaimerThe procedures used in the field study for collecting the data were approved by the Animal Experimental Committee of Nagoya University. License of the datasetThe dataset was collected by scientific teams for scientific purpose. If you use the dataset for any scientific purposes except this competition, please refer the following paper: Sakiko MATSUMOTO, Takashi YAMAMOTO, Maki YAMAMOTO, Carlos B ZAVALAGA and Ken YODA (2017) Sex-related differences in the foraging movement of Streaked Shearwaters Calonectris leucomelas breeding on Awashima Island in the Sea of Japan. Ornithological Science 16(1):23-32. 2017 doi: http://dx.doi.org/10.2326/osj.16.23 Please contact the corresponding researcher, Ken Yoda (http://yoda-ken.sakura.ne.jp/yoda_lab/English.html), if you would like to use the dataset for any other purposes, or access un-preprocessed original raw data.本数据集为ABC2018竞赛专用数据集。竞赛官网地址为：https://competitions.codalab.org/competitions/16283。数据集压缩包包含全部训练与测试轨迹文件，以及训练集的真实标签文件。解压数据集后，将得到以下目录与文件结构：./test/***.csv、./train/***.csv、./train_labels.csv，其中***为轨迹编号：训练集轨迹编号范围为000至630，测试集轨迹编号范围为000至274。 任务：将鸟类GPS轨迹分类为雄性或雌性。 轨迹文件格式：单个CSV文件（如000.csv、001.csv等）包含一次出行的GPS轨迹，每一行对应一只剪嘴鸥的单条GPS定位信息。除经度与纬度外，文件还包含以下附加字段： - 经度（float类型） - 纬度（float类型） - 太阳方位角（float类型，单位：度，以正北为基准顺时针计量） - 太阳高度角（float类型，单位：度，以地平线为基准向上计量） - 时段标记（int类型，1代表日出至日落的日间，0代表夜间） - 行程启动后的流逝时间（int类型，单位：秒） - 本地时间：格式为hh:mm:ss - 天数标记（int类型，从0开始计数，当本地时间跨过23:59:59时自动递增1） 所有浮点数值均采用%.5f格式，字段间以单个逗号分隔。示例如下： ================= 139.29220,38.56632,76.42170,-4.45122,0,0,04:54:03,0 139.29300,38.56763,76.58196,-4.25726,0,60,04:55:03,0 139.29400,38.57053,76.73674,-4.06880,0,118,04:56:01,0 139.29620,38.57563,76.89729,-3.87201,0,178,04:57:01,0 ... ================= 相关说明： - 不同轨迹包含的GPS定位点数量存在差异。 - 当GPS工作正常时，相邻两个GPS定位点的时间间隔约为1分钟（60秒）；若GPS工作异常，间隔可能在1分钟至数分钟、甚至数小时或数天之间浮动。 - 训练集与测试集的轨迹格式完全一致。 - 训练集的真实标签单独存储于独立文件中。 标签说明：性别分类（雄性/雌性） 训练集的真实标签以单个文本文件提供，每一行对应一个训练轨迹文件的标签：即第0行对应训练轨迹文件000.csv的标签。标签为二进制字符形式： - 雄性：0 - 雌性：1 示例如下： ================= 1110100... ================= 数据集统计 训练集： - 雄性轨迹共326条 - 雌性轨迹共305条 - 总计631条 测试集： - 共275条轨迹 免责声明 本数据的野外采集流程已获得名古屋大学动物实验委员会批准。 数据集许可 本数据集由科研团队为科学研究目的采集。若您将本数据集用于本次竞赛以外的科研用途，请引用以下论文： Sakiko MATSUMOTO、Takashi YAMAMOTO、Maki YAMAMOTO、Carlos B ZAVALAGA 与 Ken YODA（2017）：《日本海粟岛繁殖的条纹剪嘴鸥（Calonectris leucomelas）觅食运动的性别差异》，Ornithological Science 16(1):23-32，2017年。DOI: http://dx.doi.org/10.2326/osj.16.23 若您希望将本数据集用于其他用途，或获取未预处理的原始数据，请联系通讯作者Ken Yoda（http://yoda-ken.sakura.ne.jp/yoda_lab/English.html）。