quantified semantic trends dataset

量化语义趋势数据集是由Tableau Research创建的一个综合数据集，用于映射可量化的单变量数据趋势，如斜率和角度，到众包的语义上有意义的趋势标签。该数据集包含捕捉语义修饰符如“急剧”和“逐渐”的斜率标量效应的量化属性，以及多线趋势（例如，“峰值”，“谷值”）。数据集包含8353个条目，通过众包数据收集实验创建，旨在通过精确的量化语义标签为数据探索搜索界面提供有用的元数据，以支持用户表达分析意图。该数据集的应用领域广泛，从识别股票市场轨迹和经济波动到研究气候模式、城市增长模式以及监测疾病流行病学和健康行为。

Quantitative Semantic Trend Dataset is a comprehensive dataset developed by Tableau Research, which maps quantifiable univariate data trends such as slope and angle to crowdsourced, semantically meaningful trend labels. This dataset includes quantitative attributes that capture the scalar effects of slope for semantic modifiers like "sharply" and "gradually", as well as multi-line trends (e.g., "peak", "valley"). Comprising 8353 entries, the dataset was built through crowdsourced data collection experiments, and is designed to provide valuable metadata for data exploration search interfaces via precise quantitative semantic labels to support users in expressing their analytical intentions. This dataset has a wide range of application areas, ranging from identifying stock market trajectories and economic fluctuations to studying climate patterns, urban growth patterns, as well as monitoring disease epidemiology and health behaviors.