February 2019 - Challenge

<< January


One of the databases project DEBATER's datasets has been opened to the public: the Wikipedia Oriented Relatedness Dataset (WORD), which contains 19,276 pairs of concepts and their relatedness.

The relatedness score in the dataset has only 64 different values. (See a screenshot from the dataset below.)

Assuming this is a result of the fact that only 14 people were used to label the data, one would expect to get 65 different scores. How many people are needed to make the number of possible scores a value that contains all 10 digits, with each digit being used exactly once?




Update (11/2): To receive a bonus '*' (thanks for Deron Stewart for suggesting the idea) find a solution in hexadecimal (where the number of possible scores contains all the 16 hexa-decimal digits).


We will post the names of those who submit a correct, original solution! If you don't want your name posted then please include such a statement in your submission!

We invite visitors to our website to submit an elegant solution. Send your submission to the ponder@il.ibm.com.

If you have any problems you think we might enjoy, please send them in. All replies should be sent to: ponder@il.ibm.com

Challenge: 28/01/2019 @ 12:00 PM EST
Solution: 28/01/2019 @ 12:00 PM EST
List Updated: 11/02/2019 @ 12:00 PM EST

People who answered correctly:

Dan Dima (29/01/19 05:43 PM IDT)
Uoti Urpala (29/01/19 05:43 PM IDT)
Reiner Martin (30/01/19 01:00 AM IDT)
Anders Kaseorg (30/01/19 01:29 AM IDT)
Alper Halbutogullari (30/01/19 02:32 AM IDT)
Deane Stewart (30/01/19 04:48 AM IDT)
Deron Stewart (30/01/19 05:42 AM IDT)
Vladimir Volevich (30/01/19 11:57 AM IDT)
Thomas Huet (30/01/19 02:49 PM IDT)
Hugo Pfoertner (30/01/19 02:51 PM IDT)
Louis Faucon (30/01/19 04:16 PM IDT)
Alexander Daryin (30/01/19 04:59 PM IDT)
Emma Kee (30/01/19 06:27 PM IDT)
Eden Saig (30/01/19 09:56 PM IDT)
Harald Bögeholz (31/01/19 01:46 AM IDT)
Antoine Bodin (31/01/19 06:57 PM IDT)
Wolfgang Kais (31/01/19 07:30 PM IDT)
Motty Porat (01/02/19 03:34 AM IDT)
Thomas Egense (01/02/19 05:18 PM IDT)
Kurt Foster (01/02/19 07:18 PM IDT)
Luke Pebody (02/02/19 12:26 AM IDT)
Michael J Swart (02/02/19 01:01 AM IDT)
Rashid Naimi (02/02/19 05:39 AM IDT)
Jess Thrysoee (02/02/19 02:57 PM IDT)
Victor Chang (03/02/19 02:49 AM IDT)
David F.H. Dunkley (03/02/19 03:09 AM IDT)
Haye Chan (03/02/19 05:11 AM IDT)
Hyung Sik Hwang (03/02/19 05:52 AM IDT)
Dominik Reichl (03/02/19 12:57 PM IDT)
Kipp Johnson (03/02/19 05:42 PM IDT)
Robert Lang (03/02/19 08:02 PM IDT)
David Friedman (03/02/19 09:02 PM IDT)
Paolo Farinelli (03/02/19 09:20 PM IDT)
Xander Daire (04/02/19 01:53 AM IDT)
Yash Pote (04/02/19 09:20 AM IDT)
Brian Pietsch (04/02/19 06:13 PM IDT)
Jean Buff (04/02/19 06:21 PM IDT)
Atul Gupta (04/02/19 09:50 PM IDT)
Daniel Bitin (05/02/19 12:11 AM IDT)
Daniel Chong Jyh Tar (05/02/19 04:54 AM IDT)
Graham Hemsley (05/02/19 06:03 PM IDT)
Chris Shannon (06/02/19 03:14 AM IDT)
Joseph DeVincentis (06/02/19 06:29 AM IDT)
Boris Silantyev (06/02/19 07:57 AM IDT)
Shouky Dan & Tamir Ganor (06/02/19 08:13 AM IDT)
Rogerio Ponce da Silva (06/02/19 11:52 AM IDT)
Atul Kumar (06/02/19 08:14 PM IDT)
JJ Rabeyrin (06/02/19 11:10 PM IDT)
Peter Gerritson (07/02/19 10:36 PM IDT)
Nyles Heise (07/02/19 11:04 PM IDT)
Kang Jin Cho (08/02/19 08:09 AM IDT)
Steven Langerwerf (09/02/19 10:03 PM IDT)
Susan Brommer (10/02/19 12:03 PM IDT)
Jingran Lin (10/02/19 12:57 PM IDT)
Eric Edward Pauley (10/02/19 01:36 PM IDT)