青藏高原及周边地区冰湖数据集(风险评估结果,2018-2022年)|冰湖监测数据集|风险评估数据集
收藏Population and Housing Census of 2007 - Ethiopia
Geographic coverage --------------------------- National coverage Analysis unit --------------------------- Household Person Housing unit Universe --------------------------- The census has counted people on dejure and defacto basis. The dejure population comprises all the persons who belong to a given area at a given time by virtue of usual residence, while under defacto approach people were counted as the residents of the place where they found. In the census, a person is said to be a usual resident of a household (and hence an area) if he/she has been residing in the household continuously for at least six months before the census day or intends to reside in the household for six months or longer. Thus, visitors are not included with the usual (dejure) population. Homeless persons were enumerated in the place where they spent the night on the enumeration day. The 2007 census counted foreign nationals who were residing in the city administration. On the other hand all Ethiopians living abroad were not counted. Kind of data --------------------------- Census/enumeration data [cen] Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- Two type sof questionnaires were used to collect census data: i) Short questionnaire ii) Long questionnaire Unlike the previous censuses, the contents of the short and long questionnaires were similar both for the urban and rural areas as well as for the entire city. But the short and the long questionnaires differ by the number of variables they contained. That is, the short questionnaire was used to collect basic data on population characteristics, such as population size, sex, age, language, ethnic group, religion, orphanhood and disability. Whereas the long questionnaire includes information on marital status, education, economic activity, migration, fertility, mortality, as well as housing stocks and conditions in addition to those questions contained in a short questionnaire.
catalog.ihsn.org 收录
VoxBox
VoxBox是一个大规模语音语料库,由多样化的开源数据集构建而成,用于训练文本到语音(TTS)系统。
github 收录
CliMedBench
CliMedBench是一个大规模的中文医疗大语言模型评估基准,由华东师范大学等机构创建。该数据集包含33,735个问题,涵盖14个核心临床场景,主要来源于顶级三级医院的真实电子健康记录和考试练习。数据集的创建过程包括专家指导的数据选择和多轮质量控制,确保数据的真实性和可靠性。CliMedBench旨在评估和提升医疗大语言模型在临床决策支持、诊断和治疗建议等方面的能力,解决医疗领域中模型性能评估的不足问题。
arXiv 收录
TM-Senti
TM-Senti是由伦敦玛丽女王大学开发的一个大规模、远距离监督的Twitter情感数据集,包含超过1.84亿条推文,覆盖了超过七年的时间跨度。该数据集基于互联网档案馆的公开推文存档,可以完全重新构建,包括推文元数据且无缺失推文。数据集内容丰富,涵盖多种语言,主要用于情感分析和文本分类等任务。创建过程中,研究团队精心筛选了表情符号和表情,确保数据集的质量和多样性。该数据集的应用领域广泛,旨在解决社交媒体情感表达的长期变化问题,特别是在表情符号和表情使用上的趋势分析。
arXiv 收录
中国空气质量数据集(2014-2020年)
数据集中的空气质量数据类型包括PM2.5, PM10, SO2, NO2, O3, CO, AQI,包含了2014-2020年全国360个城市的逐日空气质量监测数据。监测数据来自中国环境监测总站的全国城市空气质量实时发布平台,每日更新。数据集的原始文件为CSV的文本记录,通过空间化处理生产出Shape格式的空间数据。数据集包括CSV格式和Shape格式两数数据格式。
国家地球系统科学数据中心 收录