DCAgent3/financeagent_terminal_rl__24GPU_base_lr5e_6__exp_rpt_pymethods2test_large__GLM_850bc4fd

该数据集包含150个训练示例，总大小为11527296字节。每个示例包括对话记录（conversations），其中包含角色和内容字段，以及代理（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）等特征。数据集适用于自然语言处理任务，如对话系统开发、代理评估或多轮交互分析，可能涉及任务执行和性能验证。This dataset contains 150 training examples with a total size of 11527296 bytes. Each example includes conversation records (conversations) with role and content fields, as well as features such as agent, model, model provider, date, task, episode, run ID, trial name, result, and verifier output. The dataset is suitable for natural language processing tasks, such as dialogue system development, agent evaluation, or multi-turn interaction analysis, potentially involving task execution and performance verification.