DCAgent2/swebench_verified_DeepSeek_R1_Distill_Qwen_7B_20260426_064906

该数据集是一个包含对话交互记录的数据集，主要用于记录代理（agent）与模型（model）之间的对话过程。每个示例包括对话内容（conversations，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、episode标识、运行ID、试验名称、结果和验证器输出。数据集仅包含训练拆分，共有1498个示例，数据大小约为105.87 MB。基于特征字段推断，该数据集可能用于评估或分析对话系统的性能，例如在多轮对话任务中记录模型响应和结果。

This dataset is a collection of dialogue interaction records, primarily documenting conversations between agents and models. Each example includes conversation content (with roles and content), agent type, model name, model provider, date, task type, episode identifier, run ID, trial name, result, and verifier output. The dataset contains only a train split with 1,498 examples and a data size of approximately 105.87 MB. Based on the feature fields, it is likely used for evaluating or analyzing the performance of dialogue systems, such as recording model responses and outcomes in multi-turn dialogue tasks.