基于真实用户宠物领养配对数据集2026

本数据集包含7500条用户-宠物配对的领养记录，涵盖2500个独特用户和7500只宠物。数据跨越2020至2026年，地理范围为美国加州。每条记录包含用户人口统计学信息、宠物属性、领养时间序列及结果。数据的采纳速度分为0-4五个等级，标注了宠物被领养的快速程度。领养成功率约为90%。 基于San Jose Animal Care Center、Long Beach Animal Shelter真实收容所数据、以及宠物养护人群调查报告（AVMA 2022-2025、Hill's Pet Nutrition 2024、Mob Research Institute 2022-2025） 合成数据集This dataset comprises 7,500 adoption records of user-pet pairs, involving 2,500 unique users and 7,500 individual pets. The data spans from 2020 to 2026, with a geographic scope covering California, USA. Each record includes user demographic information, pet attributes, adoption time series data, and adoption outcomes. The adoption speed of each pet is graded on a 0–4 five-level scale, which labels the rapidity of the pet’s adoption. The overall adoption success rate of this dataset is approximately 90%. This is a synthetic dataset constructed using real shelter data from San Jose Animal Care Center and Long Beach Animal Shelter, as well as survey reports on pet caregivers from AVMA (2022–2025), Hill's Pet Nutrition (2024), and Mob Research Institute (2022–2025).

搜集汇总

背景与挑战

背景概述

该数据集是一个基于真实收容所数据和调查报告合成的宠物领养配对数据集，包含7500条记录，涵盖2500个用户和7500只宠物，时间跨度为2020至2026年，地理范围限于美国加州。数据集具有35个字段，包括用户人口统计学、宠物属性、时间序列和领养结果，领养成功率约为90%，适用于领养预测、用户画像分析和机器学习等多种应用场景。