@gaetan_ramet : That does indeed qualify as “unfair activity”.
To help put this in perspective, AIcrowd Blitz is an educational initiative. The goal here is to encourage community members who are interested in learning about ML by using these problems as short term goals. Some of the problems in AIcrowd Blitz (and in the broader educational initiatives of AIcrowd) will be based on text book toy problems, publicly available datasets, etc. Hence, someone willing to try and cheat on a problem in these educational initiatives might very well cheat. That is definitely against the spirit of this event.
Also, at the end of the competition before claiming any of the token prizes, the participants are expected to publicly share their code/notebooks that they used to generate the final predictions. If that is not the case, then we will unfortunately have to disqualify the said submission and also cite the reason for the same (something which stays a public record forever).
I like to think of these educational problems as a set of weekly/monthly milestones that we would share with all of our community, especially the young members of the community who are very new to the field. These milestones will hopefully help everyone to be consistent while they are trying to learn various aspects of AI and ML. (Something similar to daily health goals many people like to have : drink N glasses of water, take M steps, etc).
The existence of the centralized leaderboard is to help everyone see the broad progress of everyone else who are in the same boat as them. Now, if some participants can gain the satisfaction of solving a problem simply by cheating, then it is mostly a loss for them !
That said, as soon as the competition ends on May 17th, we will internally be coordinating with all the top participants in the competition to help create a shared set of resources that others can learn from. I believe, that will also help us remove and disqualify submissions which have categorically cheated in the competition.
PS: For participants with the only objective to cheat, here is the original source of the dataset : And for participants , here is the original source of the dateset : https://archive.ics.uci.edu/ml/datasets/Diabetic+Retinopathy+Debrecen+Data+Set
(Also cited in the actual challenge references section)