Can I get your code or script that prepocesses the data set?

[yingdehuijin]

Hello , now I want to reproduce your model "ast-attendgru" on my own data. I want to do some prepocessing on filtered data set,
can I get your script or other code?

[ztw33]

Hello , now I want to reproduce your model "ast-attendgru" on my own data. I want to do some prepocessing on filtered data set, can I get your script or other code?

Hi, may I please ask have you got the preprocessing scripts yet? I wanna know how to train ast-attendgru on my own data as well.

[yingdehuijin]

Hello , now I want to reproduce your model "ast-attendgru" on my own data. I want to do some prepocessing on filtered data set, can I get your script or other code

Hello , now I want to reproduce your model "ast-attendgru" on my own data. I want to do some prepocessing on filtered data set, can I get your script or other code?

Hi, may I please ask have you got the preprocessing scripts yet? I wanna know how to train ast-attendgru on my own data as well.

You can find the processing scripts in their other repo [https://github.com/acleclair/ICPC2020_GNN/tree/master/processing] (url). I observe that a file ends in tok is the instance of class tokonizer and the file dataset.pkl you may use library pickle to serialize binary data

[ztw33]

Hello , now I want to reproduce your model "ast-attendgru" on my own data. I want to do some prepocessing on filtered data set, can I get your script or other code

Hello , now I want to reproduce your model "ast-attendgru" on my own data. I want to do some prepocessing on filtered data set, can I get your script or other code?

Hi, may I please ask have you got the preprocessing scripts yet? I wanna know how to train ast-attendgru on my own data as well.

You can find the processing scripts in their other repo [https://github.com/acleclair/ICPC2020_GNN/tree/master/processing] (url). I observe that a file ends in tok is the instance of class tokonizer and the file dataset.pkl you may use library pickle to serialize binary data

Thanks a lot! Wish u all the best.