it_vacancy_data
收藏资源简介:
The dataset represents job advertisements obtained from HeadHunter online hiring platform (collected with open API https://dev.hh.ru/) for specialists in Information Technologies (in accordance with classifier https://github.com/hhru/api/blob/master/docs_eng/specializations.md). Description of main fields for vacancies is available via link https://github.com/hhru/api/blob/master/docs_eng/vacancies.md.<br>Fields:<br>1. <i>vacid</i> - id of vacancy in processed dataset (int);2. <i>id</i> - vacancy ID corresponding to HeadHunter platform (int);3. <i>name</i> - job position name (string)4. <i>specializations.id</i> - the list of professional specializations of the vacancy according to HeadHunter classifier (string, separated with pipe(s));5. <i>area.id </i>- the region (city) of the vacancy according to HeadHunter classifier (int);6. <i>published_at </i>- the data of vacancy publishing (date in YYYY-MM-DD format);7. <i>key_skills</i> - the list of skills introduced in the vacancy (string, separated with pipe(s)).<br>
本数据集收录通过HeadHunter在线招聘平台公开API(https://dev.hh.ru/)采集的信息技术领域专业人才招聘启事,分类标准遵循https://github.com/hhru/api/blob/master/docs_eng/specializations.md。招聘启事的主要字段说明可通过链接https://github.com/hhru/api/blob/master/docs_eng/vacancies.md 查询。<br>字段说明如下:<br>1. <i>vacid</i> - 处理后数据集中的招聘启事ID(整数型);<br>2. <i>id</i> - 对应HeadHunter平台的招聘启事官方ID(整数型);<br>3. <i>name</i> - 招聘职位名称(字符串型);<br>4. <i>specializations.id</i> - 依据HeadHunter分类标准标注的招聘启事所属专业领域列表(字符串型,以竖线分隔多个条目);<br>5. <i>area.id</i> - 依据HeadHunter分类标准标注的招聘启事发布地区(城市)(整数型);<br>6. <i>published_at</i> - 招聘启事发布日期,格式为YYYY-MM-DD;<br>7. <i>key_skills</i> - 招聘启事中提及的技能列表(字符串型,以竖线分隔多个条目)。




