README.md

---
license: mit
---
This is the evaluation benchmark of [LLM4Decompile](https://github.com/albertan017/LLM4Decompile) project.

## About
* **Decompile-Bench-Eval** includes manually crafted binaries from the well-established HumanEval and MBPP, alongside the compiled GitHub repositories released after 2025 to mitigate data leakage issues.
* **C and C++ Support:** These datasets include both **C** and **C++** source code, whereas earlier models (LLM4Decompile-V1.5, V2) and the HumanEval-Decompile dataset were limited to C only.

## Columns
It contains three splits, huameval, mbpp, and github2025. We also provide a [json verison](https://github.com/albertan017/LLM4Decompile/tree/main/decompile-bench/data) 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"
}
```

## Others
For more details, please check [LLM4Decompile](https://github.com/albertan017/LLM4Decompile) project.