Supplementary Material for the JDS paper
收藏CHARLS
中国健康与养老追踪调查(CHARLS)数据集,旨在收集反映中国45岁及以上中老年人家庭和个人的高质量微观数据,用以分析人口老龄化问题,内容包括健康状况、经济状况、家庭结构和社会支持等。
charls.pku.edu.cn 收录
flames-and-smoke-datasets
该仓库总结了多个公开的火焰和烟雾数据集,包括DFS、D-Fire dataset、FASDD、FLAME、BoWFire、VisiFire、fire-smoke-detect-yolov4、Forest Fire等数据集。每个数据集都有详细的描述,包括数据来源、图像数量、标注信息等。
github 收录
The sex [Male (1) and female (2)] age (in years), weight (in lbs), #GPS Points (total after filtering), and the 100% MCP, 95% KDE, and 50% KDE home ranges (ha) for all cats sampled in the study. All cats were desexed. The personality scores (shown as a percent), were obtained from a survey, based on the “Feline Five” (Litchfield et al., 2017), that evaluated how much owners agreed or disagreed that their cats showed certain traits. Traits were then summed and converted into percentages. Bold cats are considered to have a low neuroticism score. Road density was estimated by summing the road lengths, measured in meters, within a fixed boundary centred on each cat’s mean latitude and longitude coordinates. The variable “major road” indicated the presence (1) or absence (0) of a major road near the cat’s home range. Roads were labeled as “major” based on Google Maps’ classification, related to traffic rates, and through “ground-truthing”.
Domestic cats (<i>Felis catus</i>) play a dual role in society as both companion animals and predators. When provided with unsupervised outdoor access, cats can negatively impact native wildlife and create public health and animal welfare challenges. The effective implementation of management strategies, such as buffer zones or curfews, requires an understanding of home range size, the factors that influence their movement, and the types of habitats they use. Here, we used a community/citizen scientist approach to collect movement and habitat use data using GPS collars on owned outdoor cats in the Kitchener-Waterloo-Cambridge-Guelph region, southwestern Ontario, Canada.
DataCite Commons 收录
mmlu_eval
该数据集用于评估和比较不同模型的推理能力。它包含多个特征,如问题、主题、选项、答案、输入、基线模型输出、混合推理模型输出和评估结果。数据集分为一个验证集,包含1531个样本。数据集的大小为10295402字节,下载大小为4908248字节。
huggingface 收录
CACD
跨年龄名人数据集是用于跨年龄人脸识别和检索的数据集。它包含 2,000 位名人的 163,446 张图像。该数据集于 2014 年由马里兰大学计算机科学系发表,论文名为 cross-age Reference Coding for Age-invariant Face Recognition and Retrieval。
OpenDataLab 收录