mlfoundations-dev/instruction_filtering_scale_up_math_base_embedding_filter_mean_per_domain_2K

这是一个包含多个特征字段的机器学习数据集，特征包括文本指令种子、来源、嵌入表示、正负评分、分数差异、推理过程、解决方案等。数据集分为训练集，包含2000个示例。数据集适用于机器学习模型训练，特别是在自然语言处理和对话系统领域。

This is a machine learning dataset with multiple feature fields, including text instruction seed, source, embedding representations, positive and negative scores, score differences, reasoning process, solutions, etc. The dataset is split into a training set containing 2000 examples. It is suitable for machine learning model training, especially in the fields of natural language processing and dialogue systems.