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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

JobCompetenceMetrics

tags: skills assessment, job performance, predictive analytics

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

Dataset Description:

The 'JobCompetenceMetrics' dataset is a curated collection of job competencies and performance metrics designed for an ML practitioner interested in skills assessment, job performance, and predictive analytics. It captures various competencies required for different job roles and their performance outcomes. The dataset is labeled to facilitate predictive modeling that correlates job skills with job performance metrics.

CSV Content Preview:

CompetencyID,CompetencyName,Role,PerformanceMetric,Labels
1,Critical Thinking,"Software Developer","Code Quality Score","HighPerformance,CriticalThinking"
2,Communication Skills,"Project Manager","Stakeholder Satisfaction Score","HighPerformance,CommunicationSkills"
3,Teamwork,"Marketing Coordinator","Teamwork Assessment Score","HighPerformance,Teamwork"
4,Adaptability,"Sales Executive","Sales Flexibility Score","HighPerformance,Adaptability"
5,Time Management,"HR Manager","Time Management Efficiency Score","HighPerformance,TimeManagement"

In this CSV, 'CompetencyID' and 'CompetencyName' columns capture the unique identifiers and descriptions of skills. The 'Role' column specifies the job position, 'PerformanceMetric' indicates the type of performance measure, and 'Labels' provides a comma-separated list of relevant labels that indicate if the competency is associated with high job performance. This structure allows for machine learning models to predict performance outcomes based on skill sets.

Source of the data:

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