Artem/akim_dataset_full

该数据集包含两个主要特征：tokens和targets，它们都是int64类型的序列。数据集被分为训练集、评估集和测试集，分别包含3300、184和100个样本。训练集的大小为49288800字节，评估集为2748224字节，测试集为1493600字节。数据集的下载大小为3341205字节，总大小为53530624字节。数据文件的路径分别为：训练集路径为data/train-*，评估集路径为data/eval-*，测试集路径为data/test-*。

The dataset contains two main features: tokens and targets, both of which are sequences of int64. The dataset is divided into training, evaluation, and test sets, containing 3300, 184, and 100 samples respectively. The training set size is 49288800 bytes, the evaluation set is 2748224 bytes, and the test set is 1493600 bytes. The download size of the dataset is 3341205 bytes, and the total size is 53530624 bytes. The data file paths are: training set path is data/train-*, evaluation set path is data/eval-*, and test set path is data/test-*.

原始信息汇总

数据集概述

特征

• tokens: 序列类型为 int64
• targets: 序列类型为 int64

数据集划分

• train:
  • 样本数量: 3300
  • 字节数: 49288800
• eval:
  • 样本数量: 184
  • 字节数: 2748224
• test:
  • 样本数量: 100
  • 字节数: 1493600

数据集大小

• 下载大小: 3341205 字节
• 总大小: 53530624 字节

配置

• config_name: default
  • data_files:
    • train: data/train-*
    • eval: data/eval-*
    • test: data/test-*