cskokgibbs/yeast-cv-split5

该数据集包含基因和转录因子交互作用的数据，用于机器学习任务，如预测交互作用或序列分类。特征包括基因名称、转录因子名称、交互作用标签、格式化输入文本、输入ID列表、注意力掩码和标签。数据集仅包含训练集，有243,801个样本，总大小约为1.06 GB。This dataset contains data on gene and transcription factor interactions for machine learning tasks, such as interaction prediction or sequence classification. Features include gene name, transcription factor name, interaction label, formatted input text, input ID lists, attention masks, and labels. The dataset only includes a training set with 243,801 samples and a total size of approximately 1.06 GB.