DCAgent2/dev_set_v2_Qwen3_235B_A22B_Instruct_2507_tput_20260429_192338

该数据集包含300个训练示例，总大小为20,447,685字节，用于记录多轮对话和相关元数据。每个示例包含对话内容（conversations，包括角色和内容）、代理信息（agent）、模型详情（model和model_provider）、日期（date）、任务类型（task）、情节（episode）、运行ID（run_id）、试验名称（trial_name）、结果（result）和验证器输出（verifier_output），适用于自然语言处理任务的分析和评估。This dataset consists of 300 training examples with a total size of 20,447,685 bytes, designed to record multi-turn conversations and associated metadata. Each example includes conversation content (conversations, with role and content), agent information (agent), model details (model and model_provider), date (date), task type (task), episode (episode), run ID (run_id), trial name (trial_name), result (result), and verifier output (verifier_output), suitable for analysis and evaluation in natural language processing tasks.