3260 papers • 126 benchmarks • 313 datasets
Code Documentation Generation is a supervised task where a code function is the input to the model, and the model generates the documentation for this function. Description from: CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing
(Image credit: Papersgraph)
These leaderboards are used to track progress in code-documentation-generation-36
Use these libraries to find code-documentation-generation-36 models and implementations
No datasets available.
Adding a benchmark result helps the community track progress.