Aratako/magpie-ultra-v0.1-formatted

这是一个将argilla/magpie-ultra-v0.1数据集转换为OpenAI messages格式的数据集。数据集包含多个特征字段，如模型名称响应基础、指令、响应、响应基础、意图、知识、难度、模型名称难度、解释、质量、模型名称质量、主要标签、其他标签、模型名称分类、嵌入、模型名称嵌入、分数、分数基础、distilabel元数据、最近邻索引、最近邻分数、消息、守卫、模型名称守卫、安全、危险类别、分数差异和对话等。数据集分为训练集，包含50,000个样本，总大小为956,686,523字节。由于原始数据中已存在相同格式的messages列，因此使用此数据集的必要性不大。

This is a dataset that converts the argilla/magpie-ultra-v0.1 dataset into the OpenAI messages format. The dataset includes multiple feature fields such as model_name_response_base, instruction, response, response_base, intent, knowledge, difficulty, model_name_difficulty, explanation, quality, model_name_quality, primary_tag, other_tags, model_name_classification, embedding, model_name_embeddings, score, score_base, distilabel_metadata, nn_indices, nn_scores, messages, guard, model_name_guard, safe, hazard_category, score_difference, and conversations. The dataset is divided into a training set containing 50,000 samples with a total size of 956,686,523 bytes. Since the original data already contains a messages column in the same format, there is little necessity to use this dataset.