DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-11291bf9661b

该数据集的结构详细描述了其特性和分割。特性包括对话（包含内容和角色）、代理、模型、模型提供者、日期、任务、情节、运行ID、试验名称、结果和跟踪来源。数据集有一个名为train的分割，包含322个示例，总大小为19157319字节。该数据集旨在存储对话数据以及与会话上下文和执行相关的元数据。

The datasets structure details its features and splits. Features include conversations (with content and role), agent, model, model_provider, date, task, episode, run_id, trial_name, result, and trace_source. The dataset has a single split named train with 322 examples and a total size of 19157319 bytes. The dataset is designed to store conversational data along with metadata related to the conversations context and execution.