mlfoundations-dev/instruction_filtering_scale_up_math_base_embedding_filter_mean

该数据集包含多个字段，如指令种子、来源、嵌入表示、正负评分、分数差、推理过程、解决方案、原始行索引、推理追踪和对话信息。这些字段表明数据集可能用于自然语言处理任务，如对话系统或文本分类。训练集包含16000个示例，数据集总大小约为1.2GB。但是具体的应用场景和详细描述在README中并未提供。

The dataset includes various fields such as instruction seed, source, embedding representations, positive and negative scores, score difference, reasoning process, solution, original row index, reasoning trace, and conversation information. These fields suggest that the dataset might be used for natural language processing tasks such as dialogue systems or text classification. The training set contains 16,000 examples, and the total size of the dataset is approximately 1.2GB. However, the specific application scenario and detailed description are not provided in the README.