aurelio-amerio/SBI-benchmarks

该数据集包含了多个不同配置的数据，用于机器学习模型的训练和验证。具体包括伯努利GLM、伯努利GLM后验、伯努利GLM原始数据、高斯线性、高斯线性后验、高斯混合、高斯混合后验、引力波数据、SLCP后验和双月数据等配置。每个配置都有对应的训练集和验证集，部分还有测试集。数据集特征主要是浮点数列表，涉及不同的机器学习任务。

The dataset consists of multiple configurations for machine learning training and validation. It includes configurations such as Bernoulli GLM, Bernoulli GLM posterior, Bernoulli GLM raw data, Gaussian linear, Gaussian linear posterior, Gaussian mixture, Gaussian mixture posterior, gravitational waves data, SLCP posterior, and two moons data. Each configuration has corresponding training and validation sets, and some also have test sets. The dataset features are primarily lists of floating-point numbers, related to various machine learning tasks.