DCAgent2/swebench_verified_Llama_3_1_Nemotron_Nano_8B_v1_20260427_213313

该数据集是一个包含对话交互的数据集，主要用于训练和评估人工智能代理。数据集包含1491个训练示例，每个示例包括对话内容（由角色和内容组成）、代理信息、模型详情（包括模型名称和提供者）、日期、任务类型、集数、运行ID、试验名称、结果和验证器输出。这些特征支持多方面的分析，如对话生成、任务完成评估和模型性能比较。数据集结构为JSON格式，适用于自然语言处理研究和应用开发。

This dataset is a collection of conversational interactions designed for training and evaluating AI agents. It contains 1491 training examples, each featuring conversations (with roles and content), agent information, model details (including model name and provider), date, task type, episode, run ID, trial name, result, and verifier output. These features support various analyses such as dialogue generation, task completion evaluation, and model performance comparison. The dataset is structured in JSON format and is suitable for natural language processing research and application development.