mlfoundations-dev/instruction_filtering_scale_up_code_base_embedding_filter_mean_per_domain_1K

该数据集包含了多个特征字段，其中包括文本指令种子、来源、嵌入向量、正负分数、分数差、推理过程、解决方案、原始行索引、推理轨迹和对话。对话字段是一个列表，包含发送者和信息内容。数据集分为训练集，共有1000个示例，文件大小为81415155字节。

The dataset contains multiple feature fields, including text instruction seeds, sources, embedding vectors, positive and negative scores, score differences, reasoning processes, solutions, original row indices, reasoning traces, and conversations. The conversation field is a list that includes the sender and message content. The dataset is split into a training set with a total of 1000 examples, and the file size is 81415155 bytes.