遇见数据集

novastar112/sokoban_easy_1box_remap_prev

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Hugging Face2026-05-13 更新2026-05-31 收录
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资源简介:

VisGym sokoban_easy_1box Remap-Prev 数据集是一个由VisGym Sokoban环境生成的求解器成功轨迹集合。该数据集针对Sokoban游戏中的简单级别设计,环境参数包括:动作模式为仅移动(move_only),房间维度为[7, 7],最大步数为20,箱子数量为1,生成步数为23,成功模式为stop_then_solved。动作模式包括移动动作(1到4)和停止动作(stop)。成功语义要求先停止再解决。图像策略中,每个历史步骤的image_prev等于当前图像,最终步骤的image_next等于当前图像。该数据集旨在用于Sokoban CE+MSE实验的remap-prev训练设置。

VisGym sokoban_easy_1box Remap-Prev dataset consists of solver-success Sokoban trajectories generated from the VisGym Sokoban environment. It is designed for the task sokoban_easy_1box with environment ID sokoban/easy. Environment parameters include: action mode as move_only, room dimensions [7, 7], max steps 20, number of boxes 1, number of generation steps 23, and success mode stop_then_solved. The action schema is move-only with actions (move, 1..4) plus (stop, stop). Success semantics follow stop_then_solved. The image policy specifies that every history step has image_prev == image, and the final step has image_next == image. The dataset is intended for the remap-prev training setup used in Sokoban CE+MSE experiments.

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novastar112
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