DCAgent3/financeagent_terminal_rl__56GPU_base_staleclip__exp_rpt_pymethods2test_large__Gdedd96f3

该数据集包含多轮对话记录及相关元数据，用于评估或分析基于代理的模型交互。特征包括对话内容（角色和文本）、代理标识、模型信息（模型名称和提供商）、日期、任务类型、情节编号、运行ID、试验名称、执行结果、验证器输出和来源跟踪。数据集共有154个训练示例，文件大小约为14.5MB，适用于自然语言处理任务如对话系统评估或模型性能分析。

This dataset contains multi-turn conversation records and related metadata for evaluating or analyzing agent-based model interactions. Features include conversation content (role and text), agent identifier, model information (model name and provider), date, task type, episode number, run ID, trial name, execution result, verifier output, and trace source. The dataset comprises 154 training examples with a file size of approximately 14.5MB, suitable for natural language processing tasks such as dialogue system evaluation or model performance analysis.