cheesewafer/AgentRM

AgentRM: Search Trees, Reward Data, and Evaluation Results AgentRM: Enhancing Agent Generalization with Reward Modeling（ACL 2025）的数据镜像。 全部搜索树以带缩进、未压缩的普通 JSON 发布，可以直接查看或读取，无需解压。 原始 PKL 转换为跨语言可读的 JSON，保留所有节点属性和父子关系；重复对话通过消息表去重，避免反复存储。 数据内容 trees/{alfworld,sciworld,webshop}/.../*.json：完整的 10,849 棵 MCTS 搜索树。环境下的路径沿用公开源目录，包括原有 未命名 文件夹。 reward/train_all_samples_v3.jsonl：原始奖励模型训练文件，353,617 条 state / reward 记录。 results/：results.zip 解压后的 7,733 个结果… See the full description on the dataset page: https://huggingface.co/datasets/cheesewafer/AgentRM.

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