Thanks for your ongoing participation in the data labeling project to help validate our new machine learning model’s understanding of duplicate records in WorldCat. With the support of this community, we continue to make meaningful progress with this initiative.

 

Our friends at Cleveland Museum of Art have climbed their way up to the top spot on the Leaderboard, with Salisbury University and Indiana University rounding out the top three:

 

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Updates to other interesting statistics include:

·   More than 250 participants thus far

·   38.8% of labels have been marked “True”, and 61.2% of labels have been marked “False”

·   The most referenced tags/fields are 245, 260, 264 and 490

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As a reminder, the data labeling tool will remain open for participation through 28 February 2023. For more information, read the participation instructions, FAQs, or check out the Leaderboard to see where you rank. Thanks for all you do to advance the mission of libraries worldwide—we appreciate your ongoing collaboration.

 

Take me to the data labeling tool

 

Please excuse any duplication of this message.

 

--

Jay Weitz

(he/him/his)

OCLC · Senior Consulting Database Specialist, Membership and Research

6565 Kilgour Place, Dublin, Ohio USA 43017

T +1-614-764-6156 · T +1-800-848-5878 x6156 · F +1-614-718-7195

 

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