DCAgent2/swebench_verified_random_100_folders_deepswe_repro_Qwen_Qwen3_32B_16nodes_tp4_sa93a2fee

该数据集是一个包含对话记录和相关元数据的数据集，主要用于自然语言处理和人工智能任务。数据特征包括conversations（每个对话包含content和role字段）、agent（代理标识）、model（模型名称）、model_provider（模型提供商）、date（日期）、task（任务类型）、episode（事件编号）、run_id（运行ID）、trial_name（试验名称）、result（结果）和verifier_output（验证输出）。数据集共有一个训练分割（train），包含300个示例，总大小约为48MB，可用于训练和分析对话系统、模型性能评估等场景。This dataset is a collection of conversation records and associated metadata, primarily designed for natural language processing and artificial intelligence tasks. The features include conversations (each containing content and role fields), agent (agent identifier), model (model name), model_provider (model provider), date (date), task (task type), episode (episode number), run_id (run ID), trial_name (trial name), result (result), and verifier_output (verifier output). The dataset consists of a single training split (train) with 300 examples and a total size of approximately 48MB, suitable for training and analyzing dialogue systems, model performance evaluation, and similar scenarios.