DeepPavlov/snips

这是一个文本分类数据集，适用于机器学习研究和实验。该数据集通过格式化另一个公开可用的数据集，使其与AutoIntent库兼容。数据集包含两个配置：default和intents。在default配置中，每个样本包括文本（utterance）和对应的标签（label）。在intents配置中，包含意图的id、名称、标签、完全匹配正则表达式、部分匹配正则表达式和描述等信息。数据集分为训练集和测试集，训练集有13084个样本，测试集有1400个样本。

This is a text classification dataset intended for machine learning research and experimentation. The dataset includes two configurations: default and intents. In the default configuration, each sample consists of text (utterance) and its corresponding label (label). In the intents configuration, it includes intent id, name, tags, full match regular expression, partial match regular expression, and description. The dataset is split into a training set with 13,084 samples and a test set with 1,400 samples.