Dataset for paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis"

This is the dataset constructed and used in the paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis". We release it with its ground truth labels to facilitate further research in binary similarity analysis under function inlining. Besides, we also welcome others to find miss-labeling in this dataset and fix them. We hope our dataset could help researchers conduct their studies and improve the binary similarity analysis techniques. Binaries of dataset-I can also be accessed from https://github.com/SoftSec-KAIST/BinKit. It is named the "normal dataset". Any miss-labeling can be reported at https://github.com/island255/TOSEM2022. Using this dataset, please cite our paper, "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis".