EleutherAI/profiles_dataset_250000

该数据集包含250,000个样本，主要用于存储与个人相关的信息。每个样本包含多个特征，如姓名、索引、出生日期、出生城市、大学、雇主、父母信息、子女信息、最好的朋友、最坏的敌人以及个人简介等。数据集的特征类型包括字符串、整数、时间戳以及嵌套结构。数据集被分割为训练集，训练集的大小为53,433,944字节，包含250,000个样本。

This dataset contains 250,000 samples and is primarily used to store personal-related information. Each sample includes multiple features such as name, index, birth date, birth city, university, employer, parent information, child information, best friend, worst enemy, and biography. The feature types in the dataset include strings, integers, timestamps, and nested structures. The dataset is split into a training set, which is 53,433,944 bytes in size and contains 250,000 samples.