DCAgent2/aider_polyglot_Qwen3_Coder_30B_A3B_Instruct_20260425_070238-traces

该数据集是一个用于训练或评估对话代理和AI模型的数据集，包含多轮对话记录、代理信息、模型提供者、任务执行详情、日期、运行ID、试验名称、结果及验证输出。数据集结构包括conversations（含内容和角色字段）、agent、model、model_provider、date、task、episode、run_id、trial_name、result和verifier_output等特征，适用于自然语言处理、对话系统和机器学习研究。数据分割为train，包含675个示例，总大小约44.9MB。

This dataset is designed for training or evaluating dialogue agents and AI models, containing multi-turn conversation records, agent information, model providers, task execution details, dates, run IDs, trial names, results, and verification outputs. The dataset structure includes features such as conversations (with content and role fields), agent, model, model_provider, date, task, episode, run_id, trial_name, result, and verifier_output, making it suitable for natural language processing, dialogue systems, and machine learning research. The data is split into train, comprising 675 examples with a total size of approximately 44.9MB.