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 contains 896 training examples for recording multi-turn conversational interactions and performance evaluations of AI agents on specific tasks. Each example includes conversations (with roles and content), agent type, model information (model and model_provider), date, task type, run identifiers (episode, run_id, trial_name), result, and verifier output. It is suitable for AI agent training, dialogue system evaluation, and task performance analysis.