Extended LSST Astronomical Time-series Classification Challenge (ELAsTiCC) v2.0

该数据集名为ELAsTiCC，包含了模拟的天文时间序列数据，这些数据被归类为19个天体物理类别，旨在用于训练、验证和测试分类器，以识别暂态和可变天体物理现象。此外，该数据集还包括了32种不同的模型，这些模型对应于各种天体物理类别，有助于避免观测事件在类别标签上出现不一致。该数据集大约包含50万个事件，其任务是对暂态和可变天体物理现象进行分类。

The dataset named ELAsTiCC comprises simulated astronomical time-series data categorized into 19 astrophysical classes, and is intended for training, validating, and testing classifiers tasked with identifying transient and variable astrophysical phenomena. Additionally, the dataset includes 32 distinct models corresponding to various astrophysical classes, which helps avoid inconsistencies in class labels for observational events. The dataset contains roughly 500,000 events, with the primary task being the classification of transient and variable astrophysical phenomena.