遇见数据集

novastar112/sokoban_hard_remap_allstep_thinking_trickiness_cot

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Hugging Face2026-05-06 更新2026-05-31 收录
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资源简介:

该数据集源自novastar111/s_v5_move_only_remap_prev中的所有sokoban_hard/train轨迹,包含112,000行数据。每行代表一个完整的成功Sokoban轨迹,从第一步移动到最后停止动作。消息格式包括用户回合的v2兼容提示文本和当前图像项,其中用户图像项存储源重映射图像字段(如图像_前、图像、图像_后),并验证每个步骤中图像_前等于图像。关键步骤包含四个单步分支图像,其他非停止助手回合使用固定简单思考模板,最终助手回合使用固定停止思考模板并输出(stop, stop)。关键步骤通过原始重放逻辑选择,涉及左右上下单步试验、分支状态标签以及相同死胡同/无变化/中性评分和早期返回。

This dataset is derived from all sokoban_hard/train trajectories in novastar111/s_v5_move_only_remap_prev, containing 112,000 rows. Each row represents one complete successful Sokoban trajectory from the first move through the final stop action. The message format includes the v2-compatible prompt text for each user turn plus one current image item, with the user image item storing source-remap image fields as image_prev, image, and image_next, and validating image_prev == image for every step. One selected non-stop move step contains four imagined one-step branch images, while all other non-stop assistant turns use the fixed trivial thinking template, and the final assistant turn uses the fixed stop thinking template and outputs (stop, stop). The selected key step is chosen by the original replay logic involving left/right/up/down one-step trials, original branch status labels, and the same dead-end/no-change/neutral scoring and early return.

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novastar112
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