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microsoft / KEAR

Official code for achieving human parity on CommonsenseQA with External Attention
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Probably needs a bit more guidance for the "general public" #3

Open c0demon opened 2 years ago

c0demon commented 2 years ago

Super nice to have this code here. I will probably spend much more time with it, but at first I tried to see simply if it will run on my laptop. Your docker one-liner does eventually give the /workspace prompt, though I'm not sure where to go from there, if some data is already in or not. At least I did discover the scripts are meant to run from inside /workspace ,I thought some of them might be useful straight after cloning the repo but not. I am not entirely sure what black magic you've done but I should probably study it and copy it for my own "reproducible" ML experiments.

It would be nice if someone who's more in touch with the tech did a couple of walkthroughs and even timed them, so we would know if we're on the right path or not!

xycforgithub commented 2 years ago

Hi @c0demon , Thank you for your question. The data are not in the docker - they are included in the repository. You will need to pull the docker image and this repo to make it work. The docker one-liner appends a /workspace to all paths - so it initiates you at root directory '/'. To run the code, go to /workspace/path/to/repo' and runbash bash/task_train.sh`.