Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1

该数据集是通过Magpie方法生成的，使用了Qwen/Qwen2.5-72B-Instruct模型。数据集包含100万个训练样本，主要用于文本生成任务。数据集的特征包括uuid、model、gen_input_configs、instruction、response、conversations、task_category、other_task_category、task_category_generator、difficulty、intent、knowledge、difficulty_generator、input_quality、quality_explanation、quality_generator、llama_guard_2、reward_model、instruct_reward、min_neighbor_distance、repeat_count、min_similar_uuid、instruction_length、response_length和language。数据集还提供了输入长度、输出长度、任务类别、输入质量、输入难度、最小邻居距离、安全性和奖励等标签。

This dataset is generated by Qwen/Qwen2.5-72B-Instruct using the Magpie method, containing 1 million training data, of which 300,000 high-quality instances are filtered. The dataset features include input length, output length, task category, input quality, input difficulty, minimum neighbor distance, safety tags, reward, and language. It is primarily used for supervised fine-tuning (SFT) and performs comparably to the official Llama-3-8B-Instruct model on certain tasks.