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.

DOI Link: 
10.21227/8e6g-3h03
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Dataset Files

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[1] Ying Liu, "A Richly Attributed Dataset for Talent Intelligence Evaluation", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/8e6g-3h03. Accessed: Mar. 22, 2025.
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doi = {10.21227/8e6g-3h03},
url = {http://dx.doi.org/10.21227/8e6g-3h03},
author = {Ying Liu },
publisher = {IEEE Dataport},
title = {A Richly Attributed Dataset for Talent Intelligence Evaluation},
year = {2024} }
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T1 - A Richly Attributed Dataset for Talent Intelligence Evaluation
AU - Ying Liu
PY - 2024
PB - IEEE Dataport
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Ying Liu. (2024). A Richly Attributed Dataset for Talent Intelligence Evaluation. IEEE Dataport. http://dx.doi.org/10.21227/8e6g-3h03
Ying Liu, 2024. A Richly Attributed Dataset for Talent Intelligence Evaluation. Available at: http://dx.doi.org/10.21227/8e6g-3h03.
Ying Liu. (2024). "A Richly Attributed Dataset for Talent Intelligence Evaluation." Web.
1. Ying Liu. A Richly Attributed Dataset for Talent Intelligence Evaluation [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/8e6g-3h03
Ying Liu. "A Richly Attributed Dataset for Talent Intelligence Evaluation." doi: 10.21227/8e6g-3h03