Human-Bot Interaction Dataset
收藏arXiv2025-09-30 收录
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https://github.com/eilamshapira/HumanChoicePrediction
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资源简介：
该数据集包含了移动游戏中玩家与基于规则的人工智能对手互动时所做出的决策，这些决策依据的是从Booking.com获取的酒店评论。数据集不仅包含了与酒店评论相关的特征和战略情境，还记录了玩家在各种奖励机制激励下所做出的选择。该数据集的规模涉及244名玩家的85,858个决策，其任务是对基于语言的劝说游戏进行离策略评估。
This dataset contains decisions made by players interacting with rule-based AI opponents in mobile games, where these decisions are grounded in hotel reviews obtained from Booking.com. It not only includes features and strategic scenarios associated with hotel reviews, but also records players' choices motivated by various reward mechanisms. Comprising 85,858 decisions from 244 unique players, this dataset is designed for off-policy evaluation of language-based persuasion games.
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