SkillLevelAssessment

tags: player skill metrics, improvement tracking, competitive tiering

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'SkillLevelAssessment' dataset is a curated collection of performance metrics and evaluations for competitive players in the esports domain. It contains various columns that assess different aspects of a player's skill set, including reaction time, accuracy, strategy application, and overall game performance. The dataset is designed for machine learning practitioners to analyze player improvement over time, predict player success in tournaments, and understand competitive tiering within the esports industry. The dataset labels each player's assessment results, which can be used for various predictive models, including classification and regression tasks.

CSV Content Preview:

Player ID,Name,Game,Matches Played,Average Reaction Time (ms),Accuracy (%),Strategy Application Score,Overall Performance Score,Tier,Label
1001,JohnDoe,DOTA 2,50,250,94,87,90,Gold,Improving
1002,JaneSmith,CS:GO,75,210,89,93,85,Silver,Consistent
1003,MaxPower,League of Legends,60,275,86,82,78,Bronze,Declining
1004,RainaGamer,Overwatch,80,225,92,89,91,Gold,Excelling
1005,HeroicTactics,Halo Infinite,45,230,90,76,82,Gold,Improving

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Esports':

• Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Esports&dataset=SkillLevelAssessment&tags=player+skill+metrics,+improvement+tracking,+competitive+tiering
• Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub