Decompile-Bench
Collection
Train: 2 million binary-source function pairs (condensed from 100 million). Test: HumanEval, MBPP, 60K from GitHub repos released after 2025. • 3 items • Updated • 4
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This is the evaluation benchmark of LLM4Decompile project.
It contains three splits, huameval, mbpp, and github2025. We also provide a json verison for the data. They contains the following columns:
{
"index":"index of the function",
"func_name":"demangled name for he function",
"func_dep":"function dependecies (includes, help functions), or the path to the source code",
"func":"source code",
"test":"unit tests for the function, empty for github data",
"opt":"optimization, O0, O1, O2, O3",
"language":"language, c or cpp",
"asm":"assembly",
"ida_asm":"assembly from ida pro",
"ida_pseudo":"decompiled results (pseudo code) from ida pro",
"ghidra_asm":"assembly from ghidra",
"ghidra_pseudo":"decompiled results (pseudo code) from ghidra"
}
For more details, please check LLM4Decompile project.