Public Git Archive
A collection of large-scale datasets for source code analysis and machine learning on code, including GitHub repositories, identifiers, and commit data.
What is Public Git Archive?
source{d} Datasets is a collection of large-scale, curated datasets specifically designed for source code analysis and machine learning on code applications. It provides preprocessed data from GitHub, DockerHub, and other sources, including repositories, identifiers, commit messages, and PR reviews, enabling researchers to focus on model development rather than data collection.
Researchers and data scientists working on machine learning for software engineering, source code analysis, or AI-assisted programming tools who need large, clean datasets for training and evaluation.
It offers a unique, comprehensive set of datasets that are already cleaned, structured, and ready for analysis, saving significant time and effort compared to collecting and preprocessing raw data from disparate sources.
Overview
source{d} datasets ("big code") for source code analysis and machine learning on source code
Use Cases
Best For
- Training machine learning models for code completion or generation
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