mnsm92/cv_p_72

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47,099,590,928字节，测试集的总大小为961,233,536字节。整个数据集的下载大小为7,486,696,703字节，总数据集大小为48,060,824,464字节。

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 samples and the test set containing 1,000 samples. The total size of the training set is 47,099,590,928 bytes, and the test set is 961,233,536 bytes. The download size of the entire dataset is 7,486,696,703 bytes, and the total dataset size is 48,060,824,464 bytes.

原始信息汇总

数据集概述

特征

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

数据分割

• train:
  • 样本数量: 49000
  • 字节数: 47099590928
• test:
  • 样本数量: 1000
  • 字节数: 961233536

数据大小

• 下载大小: 7486696703 字节
• 数据集总大小: 48060824464 字节

配置

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