CoDesc is a large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CoDesc is a noise removed, large parallel dataset of source codes and corresponding natural language descriptions.

Code Instruction Analysis: This dataset can be used to analyze different types of Python code instructions and identify patterns or common practices.

11 апр. 2023 г. · CodeSearchNet is a collection of datasets and benchmarks that explore the problem of code retrieval using natural language.

The dataset consists of source code and LLVM IR pairs generated from accepted and de-duped programming contest solutions. The dataset is divided into language ...

CodeSearchNet corpus is a dataset of 2 milllion (comment, code) pairs from opensource libraries hosted on GitHub. It contains code and documentation for several ...

25 окт. 2023 г. · In this work, we consider a dataset of 100 samples released at the Information Retrieval in. Software Engineering (IRSE) track at Forum for ...

The code and static analysis dataset is a compilation of source code projects and their outputs from running the static analysis tool, Infer [3], on 3170 ...

The GitHub Code dataset consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in 1TB of data.

29 мая 2021 г. · In this study, we present CoDesc -- a large parallel dataset composed of 4.2 million Java methods and natural language descriptions. With ...