DCAgent3/aider_polyglot_rl__24GPU_base_lr5e_6__exp_rpt_pymethods2test_large__GLM_4_7_swe6628e7d2

该数据集包含多轮对话记录，涉及代理（agent）、模型（model）和模型提供商（model_provider），并关联任务（task）、日期（date）、运行ID（run_id）、试验名称（trial_name）、结果（result）和验证器输出（verifier_output）等信息。数据特征包括对话内容（conversations，含角色和内容）、episode（可能表示任务片段）和trace_source（可能表示数据来源）。数据集主要用于记录和分析AI模型或代理在特定任务中的交互对话和性能评估，适用于对话系统研究、模型测试或AI行为分析。数据分割为训练集（train），包含917个示例。This dataset contains multi-turn conversation records involving agents, models, and model providers, with associated information such as task, date, run ID, trial name, result, and verifier output. Features include conversations (with role and content), episode (possibly indicating task segments), and trace_source (possibly indicating data origin). The dataset is primarily used for recording and analyzing interactive dialogues and performance evaluations of AI models or agents in specific tasks, suitable for dialogue system research, model testing, or AI behavior analysis. The data is split into a training set (train) with 917 examples.