infinite-dataset-hub/UnityGameUserProfiles

--- license: mit tags: - infinite-dataset-hub - synthetic --- # UnityGameUserProfiles tags: Player, Profiling, Classification _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'UnityGameUserProfiles' dataset contains a collection of user profiles for a variety of Unity-based games. It is aimed at helping ML practitioners analyze player behavior and preferences, assist in user segmentation, and improve game personalization. Each profile includes a description of the user's in-game actions, their gameplay style, and a classification of their in-game preferences and skill levels. The dataset is annotated with labels that describe the user's engagement and proficiency in the game, which could be useful for training classification models to predict user retention, identify at-risk players, or tailor game content. **CSV Content Preview:** ```csv UserID,UserName,GameTitle,GamePlayTime,LevelsCompleted,In-GamePurchases,Classification 001,PlayerOne,SkyFighters,3.2,5,2,${"Engaged Casual"} 002,GamerX23,UnderwaterQuest,5.7,10,0,${"Engaged Hardcore"} 003,NewbieSam,ArcaneMages,1.5,2,0,${"Inexperienced Casual"} 004,LaraAnderson,MysticForest,7.1,8,3,${"Engaged Casual"} 005,RogueWarrior,ShadowCraft,2.8,3,1,${"Inexperienced Hardcore"} ``` The labels used in the 'Classification' column represent a general categorization of the player's engagement level and game proficiency. These categories are invented for the purpose of this example and can be further refined based on the specific requirements of the ML practitioner. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'unity game': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=unity+game&dataset=UnityGameUserProfiles&tags=Player,+Profiling,+Classification - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub许可证：MIT 标签： - 无限数据集中心（Infinite Dataset Hub） - 合成数据集 # Unity游戏用户画像数据集（UnityGameUserProfiles） 标签：玩家、用户画像、分类 *注意：本数据集由人工智能生成，其内容可能存在不准确或虚假信息* **数据集描述：** "Unity游戏用户画像数据集（UnityGameUserProfiles）"收录了多款基于Unity引擎开发的游戏的用户画像集合。本数据集旨在助力机器学习从业者分析玩家行为与偏好，辅助用户细分，并优化游戏个性化服务。每份画像均包含用户的游戏内行为描述、游戏玩法风格，以及其游戏偏好与技能水平的分类标签。数据集附带用于描述用户游戏参与度与熟练度的标注标签，可用于训练分类模型以预测用户留存率、识别高流失风险玩家，或定制游戏内容。 **CSV内容预览：** csv 用户ID,用户名,游戏标题,游戏时长,完成关卡数,游戏内购买次数,分类标签 001,PlayerOne,SkyFighters,3.2,5,2,${"Engaged Casual"} 002,GamerX23,UnderwaterQuest,5.7,10,0,${"Engaged Hardcore"} 003,NewbieSam,ArcaneMages,1.5,2,0,${"Inexperienced Casual"} 004,LaraAnderson,MysticForest,7.1,8,3,${"Engaged Casual"} 005,RogueWarrior,ShadowCraft,2.8,3,1,${"Inexperienced Hardcore"} "分类标签"列中使用的标签为玩家游戏参与度与熟练度的通用分类。这些分类仅为本示例所创设，可根据机器学习从业者的具体需求进一步细化调整。 **数据来源：** 本数据集通过[无限数据集中心（Infinite Dataset Hub）](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub)与microsoft/Phi-3-mini-4k-instruct模型，以查询词"unity game"生成： - **数据集生成页面**：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=unity+game&dataset=UnityGameUserProfiles&tags=Player,+Profiling,+Classification - **模型**：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **更多数据集**：https://huggingface.co/datasets?other=infinite-dataset-hub