mlfoundations-dev/alpaca_scale_x8

该数据集包含多个特征，如指令、输入、输出等，主要用于描述对话或指令数据。训练集包含357,295个样本，总大小为1,413,233,790字节。数据集的结构包括对话内容、过滤决策、相似度评分等信息，适用于自然语言处理和机器学习任务。

The dataset contains multiple features such as instruction, input, output, etc., primarily used to describe dialogue or instruction data. The training set includes 357,295 samples with a total size of 1,413,233,790 bytes. The dataset structure includes conversation content, filtering decisions, similarity scores, and other information, suitable for natural language processing and machine learning tasks.