DCAgent2/medagentbench_Qwen3_32B_20260429_173916

该数据集包含890个训练示例，用于记录AI代理在多种任务中的对话交互和性能评估。每个示例包括：对话内容（以角色和消息组成的列表）、代理标识、使用的模型及提供商、日期、任务类型、剧集标识、运行ID、试验名称、任务结果以及验证器输出。数据集结构侧重于多轮对话和任务执行结果的追踪，适用于AI代理行为分析或评估研究。This dataset contains 890 training examples that record dialogue interactions and performance evaluations of AI agents across various tasks. Each example includes: conversation content (as a list of roles and messages), agent identifier, model used and its provider, date, task type, episode identifier, run ID, trial name, task result, and verifier output. The dataset structure focuses on tracking multi-turn dialogues and task execution outcomes, suitable for AI agent behavior analysis or evaluation research.