DCAgent3/terminal_bench_2_a3_rl_DCAgent_code_contests_noblock_5_8B_20260525_184001

该数据集包含多轮对话记录及相关任务执行信息，主要用于模型评估或代理交互分析。数据集特征包括conversations（对话，含角色和内容字段）、agent（代理标识）、model（模型名称）、model_provider（模型提供者）、date（日期）、task（任务类型）、episode（事件编号）、run_id（运行ID）、trial_name（试验名称）、result（执行结果）、verifier_output（验证器输出）和trace_source（跟踪来源）。数据划分为train分集，共483个示例，总大小约32.6MB，适用于训练或分析对话系统和模型性能。This dataset contains multi-turn conversation records and related task execution information, primarily used for model evaluation or agent interaction analysis. The dataset features include conversations (with role and content fields), agent (agent identifier), model (model name), model_provider (model provider), date (date), task (task type), episode (episode number), run_id (run ID), trial_name (trial name), result (execution result), verifier_output (verifier output), and trace_source (trace source). The data is split into a train subset with 483 examples and a total size of approximately 32.6MB, suitable for training or analyzing dialogue systems and model performance.