R2E-Gym/R2EGym-Verifier-Trajectories

该数据集包含对话信息（包括内容和角色）、Docker镜像名称以及奖励值。数据集适用于训练机器学习模型，特别是那些需要理解对话上下文和角色，以及处理Docker相关任务和奖励机制的模型。训练集包含5750个示例，总文件大小为331,516,111字节。

The dataset includes conversation information (including content and role), Docker image names, and reward values. It is suitable for training machine learning models, especially those that need to understand conversational context and roles, as well as handle Docker-related tasks and reward mechanisms. The training set contains 5750 examples, with a total file size of 331,516,111 bytes.