未提供

本研究未提供具体的数据集名称，但描述了使用Python技术生成了10,000个数据集，每个数据集包含1,000个数字，这些数字是通过最多10,000次随机数的加法生成的。数据集的创建过程涉及三个不同层次的随机数加法操作，旨在探索随机数加法对数据分布的影响。该数据集的应用领域在于分析随机数操作如何影响数据的统计特性，特别是在避免数据分布向正态分布偏移方面的应用。

This study did not provide a specific dataset name, but described generating 10,000 datasets using Python. Each dataset contains 1,000 numbers generated by summing up to 10,000 random numbers. The dataset creation process involves three distinct levels of random number summation operations, with the goal of exploring the impact of random number addition on data distribution. The application of this dataset focuses on analyzing how random number operations affect the statistical characteristics of data, particularly in applications aimed at preventing data distributions from shifting toward the normal distribution.