Astronet-Triage-v2 dataset

Dataset created for the production of Astronet-Triage-v2, a CNN that classifies eclipsing signals (eg from exoplanetary transits or eclipsing binary star systems) from other types of signals. The dataset contains ~25,000 signals, detected via Box Least Squares (Kovacs 2002) in the first 3 years of the TESS mission. Each signal was 1 of 5 labels by at least 3 individuals. Most conflicts were resolved into a consensus label for that signal. The dataset contains 1) a csv of all signals (threshold-crossing events, or TCEs) and 2) a tar of QLP light curve data used. Both are used as inputs to Astronet-Triage-v2, which can be found here: https://github.com/mdanatg/Astronet-Triage/tree/265366bc9e8e98d248df34fad267704324c344ce本数据集专为构建Astronet-Triage-v2模型而生成，该模型是一款卷积神经网络（Convolutional Neural Network，CNN），可从各类信号中分类出凌星信号，例如系外行星凌日或食双星系统产生的信号。本数据集包含约25000条信号，这些信号是在凌日系外行星巡天卫星（Transiting Exoplanet Survey Satellite，TESS）任务的前三年期间，通过盒状最小二乘法（Box Least Squares，Kovacs 2002）检测得到的。每条信号均由至少3名标注人员标注为5个类别之一，且大部分标注冲突已被整合为该信号的共识标签。本数据集包含两部分内容：1） 所有信号（即阈值穿越事件，Threshold-Crossing Events，TCEs）的CSV文件；2） 所用QLP光变曲线数据的tar归档包。上述两份数据均可作为Astronet-Triage-v2的输入，该模型的开源仓库地址为：https://github.com/mdanatg/Astronet-Triage/tree/265366bc9e8e98d248df34fad267704324c344ce