DCAgent3/bfcl_parity_Qwen3_32B_31600_sera_46_47000_converted_20260526_075823

该数据集包含381个训练示例，总大小为8116248字节，每个示例由多个特征组成，包括对话记录（包含角色和内容）、代理标识、模型信息（如模型名称和提供者）、日期、任务类型、剧集标识、运行ID、试验名称、结果、验证器输出和追踪来源。数据集主要用于记录和分析人工智能代理或模型在特定任务中的交互和性能，适用于自然语言处理研究和评估场景。This dataset consists of 381 training examples with a total size of 8116248 bytes. Each example includes multiple features such as conversations (with role and content), agent identifier, model information (e.g., model name and provider), date, task type, episode identifier, run ID, trial name, result, verifier output, and trace source. It is designed for recording and analyzing interactions and performance of AI agents or models in specific tasks, suitable for natural language processing research and evaluation scenarios.