marcov/mc_taco_promptsource

该数据集包含多个特征字段，如句子、问题、答案、标签、类别、模板名称、模板、渲染输入和渲染输出。标签字段表示二元分类（no和yes），类别字段表示多类别分类（如事件持续时间、事件顺序、频率、典型时间和稳定性）。数据集分为测试集和验证集，分别包含88176和35276个样本。数据集的下载大小为6309945字节，总大小为78609262.8990732字节。

The dataset contains multiple feature fields such as sentence, question, answer, label, category, template_name, template, rendered_input, and rendered_output. The label field represents binary classification (no and yes), and the category field represents multi-class classification (e.g., Event Duration, Event Ordering, Frequency, Typical Time, and Stationarity). The dataset is divided into test and validation sets, containing 88176 and 35276 samples respectively. The download size of the dataset is 6309945 bytes, and the total size is 78609262.8990732 bytes.