yiyic/snli_ds

这是一个文本分类数据集，包含四个字段：前提(premise)、假设(hypothesis)、标签(label)和文本(text)。标签字段有三个可能的值：蕴含(entailment)、中性(neutral)和矛盾(contradiction)，用于表示前提和假设之间的关系。数据集分为训练集(train)、验证集(dev)和测试集(test)，分别包含540,000、200和200个样本。数据集的总大小为约123.49亿字节，下载大小为约58.58兆字节。

This is a text classification dataset containing four fields: premise, hypothesis, label, and text. The label field has three possible values: entailment, neutral, and contradiction, representing the relationship between the premise and hypothesis. The dataset is split into training set (train), validation set (dev), and test set (test), with 540,000, 200, and 200 samples respectively. The total size of the dataset is approximately 12.349 billion bytes, with a download size of approximately 58.58 million bytes.