AntoineBlanot/mnli-3way

数据集mnli-3way是基于multi_nli数据集的一个变体，其中标签包括entailment、contradiction和neutral。数据集包含三个特征：premise、hypothesis和label_name，均为字符串类型。数据集分为训练集和测试集，训练集包含392702个样本，测试集包含9815个样本。数据集的总下载大小为51216284字节，总大小为77258742字节。

The dataset mnli-3way is a variant of the multi_nli dataset where the labels are: entailment, contradiction and neutral. The dataset includes three features: premise, hypothesis and label_name, all of which are string type. The dataset is divided into a training set and a test set, with the training set containing 392702 samples and the test set containing 9815 samples. The total download size of the dataset is 51216284 bytes, and the total size is 77258742 bytes.

原始信息汇总

数据集概述

数据特征

• premise: 类型为字符串
• hypothesis: 类型为字符串
• label_name: 类型为字符串

数据划分

• train:
  • 字节数: 75405059
  • 样本数: 392702
• test:
  • 字节数: 1853683
  • 样本数: 9815

数据大小

• 下载大小: 51216284 字节
• 数据集大小: 77258742 字节

配置

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