DCAgent2/terminal_bench_2_g1_a1_top16_32b_step600_20260426_211552

该数据集包含260个训练示例，主要特征为多轮对话记录（conversations，包含内容和角色字段），并涉及代理（agent）、模型（model）、模型提供者（model_provider）、日期（date）、任务（task）、剧集（episode）、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。数据集可能用于分析对话系统、任务执行或代理交互场景，数据格式为结构化列表，总大小约18.5MB。

This dataset contains 260 training examples, with key features including multi-turn conversation records (conversations, with content and role fields), along with agent, model, model provider, date, task, episode, run_id, trial_name, result, and verifier_output. It is likely designed for analyzing dialogue systems, task execution, or agent interaction scenarios, with data structured in lists and a total size of approximately 18.5MB.