DCAgent2/GLM-4.7-r2egym-patched-full-oracle-1samples-131k-run3

该数据集是一个结构化的对话或任务执行记录集合，包含1733个训练示例，总大小约140MB。数据特征包括：conversations字段（记录对话内容，含content和role子字段，表示消息内容和角色）、agent（代理标识）、model（模型名称）、model_provider（模型提供方）、date（日期）、task（任务类型）、episode（事件或回合）、run_id（运行ID）、trial_name（试验名称）、result（结果）和verifier_output（验证输出）。这些字段表明数据集可能用于分析多轮对话交互、模型性能评估或任务执行过程，适用于自然语言处理、人工智能代理研究或实验数据分析。数据集仅提供train分割，未包含验证或测试部分。

This dataset is a structured collection of dialogue or task execution records, containing 1733 training examples with a total size of approximately 140MB. The features include: conversations field (recording dialogue content with subfields content and role for message content and role), agent (agent identifier), model (model name), model_provider (model provider), date (date), task (task type), episode (episode or round), run_id (run ID), trial_name (trial name), result (result), and verifier_output (verifier output). These fields suggest the dataset may be used for analyzing multi-turn dialogue interactions, model performance evaluation, or task execution processes, suitable for natural language processing, AI agent research, or experimental data analysis. The dataset only provides a train split, without validation or test portions.