DCAgent2/medagentbench_SWE_agent_LM_7B_20260429_173747

该数据集包含896个训练样本，用于记录AI代理在特定任务中的多轮对话交互和性能评估。每个样本包括对话内容（conversations，含角色和消息）、代理类型（agent）、模型信息（model和model_provider）、日期（date）、任务类型（task）、运行标识（episode、run_id、trial_name）、结果（result）和验证输出（verifier_output）。数据集适用于AI代理训练、对话系统评估和任务性能分析。

This dataset comprises 896 training samples intended for documenting multi-turn dialogue interactions and performance assessments of AI Agents when they perform designated tasks. Each sample encompasses dialogue content (conversations, including roles and messages), agent type, model information (model and model_provider), date, task type, runtime identifiers (episode, run_id, trial_name), results, and verification outputs (verifier_output). This dataset is applicable to AI Agent training, dialogue system evaluation, and task performance analysis.