mnsm92/cv_p_32

该数据集包含两个主要特征：input_features和labels。input_features是一个浮点数序列，而labels是一个整数序列。数据集被分为训练集和测试集，训练集包含49,000个样本，测试集包含1,000个样本。训练集的总大小为47,099,586,744字节，测试集的总大小为961,208,232字节。整个数据集的下载大小为7,490,400,868字节，总数据集大小为48,060,794,976字节。数据文件路径分别为train-*和test-*。

The dataset includes two main features: input_features and labels. input_features is a sequence of float32, and labels is a sequence of int64. The dataset is divided into a training set and a test set, with the training set containing 49,000 examples and the test set containing 1,000 examples. The total size of the training set is 47,099,586,744 bytes, and the test set is 961,208,232 bytes. The download size of the entire dataset is 7,490,400,868 bytes, and the total dataset size is 48,060,794,976 bytes. The data files are located at train-* and test-* paths.

原始信息汇总

数据集概述

特征信息

• input_features:
  • 类型: 序列
  • 数据类型: float32
• labels:
  • 类型: 序列
  • 数据类型: int64

数据集划分

• train:
  • 样本数量: 49000
  • 数据大小: 47099586744 字节
• test:
  • 样本数量: 1000
  • 数据大小: 961208232 字节

数据集大小

• 下载大小: 7490400868 字节
• 总数据大小: 48060794976 字节

配置信息

• default:
  • train: 数据路径为 data/train-*
  • test: 数据路径为 data/test-*