Integer Factorization Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/KarlisFre/diffusion-factorization
下载链接
链接失效反馈官方服务：
资源简介：
该数据集包含16至56位的整数，用于训练神经网络模型以进行整数分解。模型以8位增量对输入批次进行训练，并且结果是通过对256个例子的批次进行平均得出的。数据集的规模为16至56位整数，任务是对整数进行分解。
This dataset comprises integers ranging from 16 to 56 bits, and is intended for training neural network models to perform integer factorization. Models are trained on input batches using 8-bit increments, and final results are averaged over batches of 256 examples. This dataset covers integers from 16 to 56 bits, with the task being integer factorization.
