terminal_bench_2_a3_rl_DCAgent_exp_rpt_pymethods2test_v3_10_8B_20260829_151827

该数据集是一个多轮对话交互数据集，用于记录和评估基于语言模型的智能体（agent）在特定任务中的表现。数据包含多个字段：conversations（对话历史，每条消息包含角色和内容）、agent（智能体名称）、model（使用的模型）、model_provider（模型提供者）、date（日期）、task（任务名称）、episode（轮次）、run_id（运行ID）、trial_name（试验名称）、result（结果）、verifier_output（验证器输出）以及trace_source（追踪来源）。数据集共包含3046个训练样本，总大小约218MB（下载大小约177MB）。该数据集适用于多轮对话系统、智能体行为分析、任务型对话评估等场景。This dataset is a multi-turn dialogue interaction dataset for recording and evaluating the performance of language model-based agents in specific tasks. The data contains multiple fields: conversations (dialogue history, each message includes role and content), agent (agent name), model (model used), model_provider (model provider), date (date), task (task name), episode (episode), run_id (run ID), trial_name (trial name), result (result), verifier_output (verifier output), and trace_source (trace source). The dataset contains a total of 3046 training samples, with a total size of approximately 218MB (download size approximately 177MB). This dataset is suitable for scenarios such as multi-turn dialogue systems, agent behavior analysis, and task-oriented dialogue evaluation.