mlfoundations-dev/instruction_filtering_scale_up_code_base_embedding_filter_mean_1K

该数据集包含了指令种子、来源、嵌入向量、正负评分差、推理过程、解决方案、原始行索引、推理追踪和对话等信息。这些特征表明数据集可能是用于自然语言处理任务，如文本分类、推理或对话系统。但没有具体描述数据集的用途和内容。

The dataset includes instruction seeds, sources, embedding vectors, difference in positive and negative scores, reasoning processes, solutions, original row indices, reasoning traces, and conversations. These features suggest that the dataset might be used for natural language processing tasks such as text classification, reasoning, or conversational systems. However, there is no specific description of the datasets purpose and content.