DCAgent3/financeagent_terminal_a3_rl_DCAgent_code_contests_noblock_5_8B_20260526_230415

该数据集是一个包含多轮对话和任务执行记录的数据集，主要用于人工智能代理和模型交互的研究。数据集特征包括对话内容（包含角色和内容）、代理类型、模型名称、模型提供者、日期、任务类型、事件集、运行ID、试验名称、执行结果和验证器输出。数据分为训练集，共150个示例，总大小约11.95 MB，适用于自然语言处理、对话系统和机器学习任务的分析与训练。

This dataset consists of multi-turn conversations and task execution records, primarily designed for research on AI agents and model interactions. It includes features such as conversations (with role and content), agent type, model name, model provider, date, task type, episode, run ID, trial name, result, and verifier output. The data is split into a training set with 150 examples and a total size of approximately 11.95 MB, suitable for analysis and training in natural language processing, dialogue systems, and machine learning tasks.