Datasets › CodeFuseEval

CodeFuseEval

archive 2025-07-28

CodeFuseEval is a Code Generation benchmark that combines the multi-tasking scenarios of CodeFuse Model with the benchmarks of HumanEval-x and MBPP. This benchmark is designed to evaluate the performance of models in various multi-tasking tasks, including code completion, code generation from natural language, test case generation, cross-language code translation, and code generation from Chinese commands, among others.

The evaluation of the generated codes involves compiling and running in multiple programming languages. The versions of the programming language environments and packages we use are as follows:

Dependency Version
Python 3.10.9
JDK 18.0.2.1
Node.js 16.14.0
js-md5 0.7.3
C++ 11
g++ 7.5.0
Boost 1.75.0
OpenSSL 3.0.0
go 1.18.4
cargo 1.71.1

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • CodeFuseEval

1 variant name, as the archive lists them.

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