DCAgent2/swebench_verified_OpenThinker_Agent_v1_20260428_221721

该数据集包含1500个训练示例，总大小约256MB，下载大小约194MB。数据集结构包括对话记录（conversations，包含内容和角色）、代理（agent）、模型（model）、模型提供商（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）等特征。这些特征表明数据集可能用于记录多轮对话交互、任务执行过程或实验运行结果，适用于自然语言处理、对话系统或任务导向型AI的研究和分析。

This dataset contains 1500 training examples with a total size of approximately 256MB and a download size of about 194MB. The dataset structure includes features such as conversations (with content and role), agent, model, model provider, date, task, episode, run ID, trial name, result, and verifier output. These features suggest that the dataset may be used for recording multi-turn dialogue interactions, task execution processes, or experimental run results, making it suitable for research and analysis in natural language processing, dialogue systems, or task-oriented AI.