mgarbowski/zzsn-activations-2_unet.up_blocks.1.attentions.2

该数据集包含12,800,000个训练示例，每个示例由三个特征组成：activations（一个长度为1280的float16列表，可能表示神经网络激活值）、timestep（uint16类型，可能表示时间步）和prompt（字符串类型，可能表示提示文本）。数据集总大小约为33.46 GB，下载大小约为32.84 GB。它可能用于机器学习任务，如时间序列分析或文本生成模型的训练。This dataset consists of 12,800,000 training examples, each with three features: activations (a list of float16 with length 1280, likely representing neural network activations), timestep (uint16 type, possibly indicating time steps), and prompt (string type, likely representing prompt text). The total dataset size is approximately 33.46 GB, with a download size of about 32.84 GB. It may be used for machine learning tasks such as time series analysis or training text generation models.