search

CMUSTRUDEL / DIRTY

DIRTY: Augmenting Decompiler Output with Learned Variable Names and Types
MIT License
167 stars 24 forks source link

Obtaining the Dataset #9

Closed lacraig2 closed 2 years ago

lacraig2 commented 2 years ago

https://github.com/CMUSTRUDEL/DIRTY/blob/20f779b3ae1f0360bbbacc73728f447b910a12fc/README.md#L61

I'm interested in obtaining the dataset.

jlacomis commented 2 years ago

Thanks for your interest. The full unprocessed dataset is quite large (~100GB), so it might take a week or so to package it and upload it to an appropriate hosting site.

lacraig2 commented 2 years ago

Sure. I appreciate you going through the effort. I'll check back when it's available. Thanks.

saltytrain2 commented 2 years ago

I am also interested in obtaining the dataset, specifically the names of all projects that were compiled into binaries. Will the unprocessed dataset contain this information?

jlacomis commented 2 years ago

I am also interested in obtaining the dataset, specifically the names of all projects that were compiled into binaries. Will the unprocessed dataset contain this information?

Ah, thanks for the question! The dataset does not contain this information, but I've added the projects.txt file that we used to generate it with GHCC to the root of this repository and added a small note in the README.

jlacomis commented 2 years ago

The full dataset is now uploaded and available here: https://doi.org/10.1184/R1/20732656.v1