Negative submission counts

Here is what I’m seeing in the submissions tab.

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Negative submission counts

Hi,

I accidentally performed submissions when I had no submissions left. It didn’t proceed the submission, but it now shows that I have negative amount of submissions left. When the reset happened, it didn’t went back to zero but increased and stayed negative so now I need to wait even more before submitting, even though no submission was really evaluated.

Is this behavior expected? Or is it a bug?

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KeyError: "notebook_dir" when submitting

I already had this line in my notebook (with an additonal -q flag), but re-running it solved the issue

Thanks for your help!

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KeyError: "notebook_dir" when submitting

Hi,

I am getting this error when trying to submit my notebook. Sorry for the split trace, I didn’t find any better way to get it.

Any idea why this is happening? Anyone else encountering this issue?

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Web browser & Jupyter-lab in linux virtual machine?

I think you should be able to use the link provided in the pre-installed Firefox to access jupyter-lab. No idea why your machine thinks you don’t have a browser though…

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Cryptic submission failed message

Great news! Thanks for acting so quickly!

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Cryptic submission failed message

Hi @jyotish and thank you for your help!

For anyone interested, it seems to be an out-of-memory issue because the evaluation pods have only 4Go of RAM.

I think it would make sense to have the same hardware capabilities on the training and evaluation machines, as you need to be able to load your models/assets on both right? It feels weird to me to be allowed to develop with 14Go but to test only with 4Go. What do you think?

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Cryptic submission failed message

Hi,

My latest submissions (133671) are being rejected but I can’t find any sensible reason why. It failed in the “generate predictions” step and here are the logs I get:

Selecting runtime language: python
[NbConvertApp] Converting notebook predict.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python
[NbConvertApp] Writing 17040 bytes to predict.nbconvert.ipynb

Any idea what went wrong? Is it a timeout issue or out-of-memory error of some kind?

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Use of external data

Thanks for all the answers and also for organizing this event!

Looking forward to the publication of the guidelines!

Cheers

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Use of external data

Thanks for the extensive answer! I’m glad you are seeing it the same way I do

A few more questions that are more or less linked to this:

• Is an algorithmic solution (i.e. involving no learning/AI/ML) acceptable? I’m thinking mostly about the PKHND challenge, were it’s obvious that it can be solved without ML

• Regarding the publication of solutions, does that mean the solutions will be tested for reproducibility? And if yes, is 100% reproducibility necessary for a solution to be acceptable?

• How will the publication of the solutions work? Through posts in the discussions, Github repos and/or something else?

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Use of external data

I was wondering if the usage of external data is allowed for this challenge (and the other challenges of the Blitz as well)

If I were to find the annotated dataset online, it would be fairly easy to overfit the test set and get 100% F1 score using it, although not very interesting… Would something like this be allowed? Or does this qualify as “unfair activities”?

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