marcov/trec_promptsource

该数据集包含文本数据及其对应的分类标签。文本数据通过粗粒度标签和细粒度标签进行分类，粗粒度标签包括ABBR、ENTY、DESC、HUM、LOC、NUM等类别，细粒度标签则进一步细分为更具体的类别。数据集还包含模板名称、模板、渲染输入和渲染输出等字段。数据集分为训练集和测试集，训练集包含38164个样本，测试集包含3500个样本。数据集的下载大小为3398419字节，总大小为14907326字节。

This dataset contains text data along with corresponding classification labels. The text data is classified using coarse-grained and fine-grained labels, with coarse-grained labels including categories such as ABBR, ENTY, DESC, HUM, LOC, NUM, and fine-grained labels further subdivided into more specific categories. The dataset also includes fields such as template name, template, rendered input, and rendered output. The dataset is divided into a training set and a test set, with the training set containing 38,164 samples and the test set containing 3,500 samples. The download size of the dataset is 3,398,419 bytes, and the total size is 14,907,326 bytes.