terminal_bench_2_a3_rl_laion_nemotron_gym_identity_following_v2_65_8B_20260828_190616

该数据集是一个多轮对话数据集，包含4738个训练样本，总大小约385MB。每个样本由以下字段构成：conversations（对话列表，每个元素包含role和content）、agent（对话代理名称）、model（模型名称）、model_provider（模型提供方）、date（对话日期）、task（对话任务）、episode（对话轮次）、run_id（运行标识符）、trial_name（试验名称）、result（对话结果）、verifier_output（验证器输出）、trace_source（轨迹来源）。数据集适用于对话系统训练、代理行为分析、模型评估与验证等场景。This dataset is a multi-turn conversation dataset containing 4,738 training samples with a total size of approximately 385MB. Each sample consists of the following fields: conversations (a list where each element includes role and content), agent (name or identifier of the conversation agent), model (model name), model_provider (model provider), date (conversation date), task (conversation task), episode (conversation round or episode number), run_id (run identifier), trial_name (trial name), result (conversation result), verifier_output (verifier output), and trace_source (trace source). The dataset is suitable for dialogue system training, agent behavior analysis, model evaluation and validation, etc.