DCAgent2/swebench_verified_random_100_folders_Qwen3_32B_20260423_202130

该数据集包含对话数据，每条记录包含对话内容（content）和角色（role），以及代理（agent）、模型（model）、模型提供者（model_provider）、日期（date）、任务（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）等特征。数据集包含300个训练样本，总大小为81,179,702字节。

This dataset contains conversational data, with each record including conversation content (content) and role (role), as well as features such as agent, model, model provider (model_provider), date, task, episode, run ID (run_id), trial name (trial_name), result, and verifier output (verifier_output). The dataset consists of 300 training examples with a total size of 81,179,702 bytes.