A Richly Attributed Dataset for Talent Intelligence Evaluation

Name: A Richly Attributed Dataset for Talent Intelligence Evaluation
Creator: ying liu
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Standards Research Data

Citation Author(s):: Ying Liu (Xinjiang Normal University)
Submitted by:: ying liu
Last updated:: Sun, 12/15/2024 - 16:22
DOI:: 10.21227/8e6g-3h03
Data Format:: *.csv

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Categories:

Standards Research Data

Keywords:

Talent Intelligence Evaluation

Data governance

Multi-label learning

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Abstract

This is a test case for a talent intelligence evaluation benchmark dataset with rich attributes (Attributes: 11, 909, Samples: 244, 610), containing information on honors, masterpieces, projects, rankings, and other attributes. Please note that we are providing this for scientific research use only; to use the full dataset, please contact liuying.void@gmail.com.