metadata

pretty_name: ComBack
language:
  - code
pipeline_tag: Compiler Backend
tags:
  - C++/C Code
  - Compiler Backend
license: cc-by-4.0
configs:
  - config_name: Statement-Level Completion
    data_files:
      - split: train
        path: Code_Completion/statement_level/train*
      - split: validation
        path: Code_Completion/statement_level/valid*
      - split: test
        path: Code_Completion/statement_level/test*
  - config_name: Next-Statement Suggestion
    data_files:
      - split: train
        path: Code_Completion/next_statement/train*
      - split: validation
        path: Code_Completion/next_statement/valid*
      - split: test
        path: Code_Completion/next_statement/test*
  - config_name: Code Generation
    data_files:
      - split: train
        path: Code_Generation/train*
      - split: validation
        path: Code_Generation/valid*
      - split: test
        path: Code_Generation/test*

ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency

ComBack is a large-scale multi-platform compiler backend code dataset. It is sourced from GCC and LLVM backends corresponding to 178 target platforms.

Dataset Information

Source Data

Category	Target Platform	Function	KLoC
CPU	30	35,147	647.2
MPU	33	6,010	183.9
GPU	2	457	11.2
VLIW	5	959	25.4
DSP	3	399	9.6
Virtual	4	327	6.5
SUM	77	43,299	883.7

LLVM

Category	Target Platform	Function	KLoC
CPU	43	84,914	3,450.4
MPU	30	11,311	173.0
GPU	5	22,591	768.3
VLIW	4	2,048	24.3
DSP	7	9,646	263.2
Virtual	12	8,430	168.3
SUM	101	138,940	4,847.5

Tasks

Statement-Level Completion: complete current statement.

//Inputs:
...
adjustReg(MBB,LastFrameDestroy, DL, SPReg, FPReg, -StackSize+RVFI->getVarArgsSaveSize() 
//Ground Truth:
MachineInstr::FrameDestroy);

Next-Statement Suggestion: predict the next statement.

//Inputs:
...
maxCallFrameSize = (maxCallFrameSize + AlignMask) & ~AlignMask;
//Ground Truth:
MFI -> setMaxCallFrameSize(maxCallFrameSize);

Code Generation: generate a function with function description in natrual language.

//Inputs:
getPointerRegClass: Returns a TargetRegisterClass used for pointer values.
Target-Specific Value: Sparc, SP::I64RegsRegClass, SP::IntRegsRegClass.
//Ground Truth:
TargetRegisterClass *SparcRegisterInfo::getPointerRegClass(MachineFunction &MF ,unsigned Kind) {
   return Subtarget.is64Bit() ? &SP::I64RegsRegClass : &SP::IntRegsRegClass;
}

Organization

Code_Generation/* and Code_Completion/*: split data of 178 backends into train/valid/test set in the ratio of 80%:10%:10%

Task	Train	Valid	Test
Statement-Level Comp.	128,899(11.36M Token)	16,112(1.43M Token)	16,113(1.43M Token)
Next-Statement Sugg.	173,052(15.69M Token)	21,631(1.99M Token)	21,632(1.98M Token)
Code Generation.	36,236(5.10M Token)	4,530(0.64M Token)	4,530(0.64M Token)

New_Target_Generation/Existing_Types/* and New_Target_Completion/Existing_Types/*: Take data of RISC-V,ARC,NVPTX both in GCC and LLVM as test set, split train/valid set in the ratio of 85%:15% of other CPU, MPU and GPU targets excluding RI5CY(RI5CY is custmoized based on RISCV)

Task	Train	Valid	Test
Statement-Level Comp.	114,016(10.20M Token)	20,121(1.81M Token)	6,645(0.58M Token)
Next-Statement Sugg.	152,114(14.10M Token)	26,844(2.49M Token)	9,313(0.83M Token)
Code Generation.	30,633(4.44M Token)	5,406(0.79M Token)	2,819(0.37M Token)

New_Target_Generation/New_Types/* and New_Target_Completion/New_Types/*: Take data of ARC,NVPTX both in GCC and LLVM as test set, split train/valid set in the ratio of 85%:15% of other CPU targets excluding RI5CY(RI5CY is custmoized based on RISCV)

Task	Train	Valid	Test
Statement-Level Comp.	87,018(7.78M Token)	15,357(1.37M Token)	2,764(0.26M Token)
Next-Statement Sugg.	113,684(10.65M Token)	20,063(1.87M Token)	4,029(0.38M Token)
Code Generation.	21,184(3.14M Token)	3,739(0.55M Token)	1,372(0.18M Token)

Iterative_Expansion_Generation/* and Iterative_Expansion_Completion/*: Take data of RI5CY in LLVM as test set, split train/valid set in the ratio of 85%:15% of other CPU targets excluding RISC-V(a) and including RISC-V(b)

(a)

Task	Train	Valid	Test
Statement-Level Comp.	87,018(7.78M Token)	15,357(1.37M Token)	721(0.04M Token)
Next-Statement Sugg.	113,684(10.65M Token)	20,063(1.87M Token)	1,035(0.06M Token)
Code Generation.	21,184(3.14M Token)	3,739(0.55M Token)	219(0.02M Token)

(b)

Task	Train	Valid	Test
Statement-Level Comp.	90,316(8.06M Token)	15,940(1.42M Token)	721(0.04M Token)
Next-Statement Sugg.	118,175(11.04M Token)	20,856(1.94M Token)	1,035(0.06M Token)
Code Generation.	22,413(3.30M Token)	3,957(0.58M Token)	219(0.02M Token)

Citation

@inproceedings{zhong2024comback,
  title={ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency},
  author={Ming Zhong, Fang Lyu, Lulin Wang, Hongna Geng, Lei Qiu, Huimin Cui, Xiaobing Feng},
  booktitle={Thirty-eighth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
  year={2024}
}