A Richly Attributed Dataset for Talent Intelligence Evaluation

Citation Author(s):
Ying
Liu
Xinjiang Normal University
Submitted by:
ying liu
Last updated:
Sun, 12/15/2024 - 11:22
DOI:
10.21227/8e6g-3h03
Data Format:
*.csv
License:
Creative Commons Attribution
38 Views
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.

Instructions: 

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.

Comments

很好

Submitted by XiangWei Xu on Sun, 12/15/2024 - 11:26

Thank you for your support.

Submitted by ying liu on Sun, 12/15/2024 - 11:42

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