mlfoundations-dev/instruction_filtering_scale_up_code_base_embedding_filter_mean_8K

该数据集是一个包含多个特征的字段集合，用于训练机器学习模型。特征包括指令种子、来源、嵌入向量、正负评分、分数差、推理过程、解决方案、原始行索引、推理跟踪和对话。数据集分为训练集，包含8000个示例，数据大小为651662182字节。

The dataset is a collection of multiple fields as features for training machine learning models. Features include instruction seed, source, embedding vectors, positive and negative scores, score difference, reasoning process, solution, original row index, reasoning trace, and conversation. The dataset is split into a training set containing 8000 examples, with a total size of 651662182 bytes.