对这段话进行改写：生成器G负责从Z分布映射到X分布其任务是学习一种能够模仿真实数据分布的有效映射以生成与训练集的样本相关的新样本。判别器D实质上是一个二分类器其输入是来自数据集中的真实样本或生成器G生成的假样本

任务是将其区分为真实样本或假样本，并给出其概率。

G is responsible for mapping from the Z distribution to the X distribution. Its task is to learn an effective mapping that can mimic the real data distribution, generating new samples related to the training set. D is essentially a binary classifier that takes in real samples from the dataset or fake samples generated by G. Its task is to distinguish between real and fake samples and provide their respective probabilities.