Comments (5)
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.
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Sure. I appreciate you going through the effort. I'll check back when it's available. Thanks.
from dirty.
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?
from dirty.
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.
from dirty.
The full dataset is now uploaded and available here: https://doi.org/10.1184/R1/20732656.v1
from dirty.
Related Issues (14)
- Need for local saving and loading of model. HOT 1
- Dataset is deprecated HOT 1
- Hang when evaluating test set HOT 3
- Running tox command HOT 1
- Serialization of Unions uses wrong type tag
- A typo in model.py?
- How can I apply `DIRTY` on .idb file?
- What are the "disappear" types? HOT 2
- [???] encode_memory() dirtiness HOT 5
- disagree between preprocessor and decompiler/pretokenizer HOT 1
- Help Needed/Documentation Inquiries HOT 2
- DIRTY_light access request
- Question on applying Dirty to custom binary files
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