Datasets:
license: afl-3.0
size_categories:
- 10K<n<100K
tags:
- Python
- Code
Splits: 80% train, 10% validation, 10% test.
📦 Method-Level Change / Code Review Suggestion Dataset 📝 Overview This dataset is designed for training or fine-tuning large language models (LLMs) on the task of automated code suggestion generation at the method level. Each entry in the dataset contains: An original Python method extracted from a GitHub pull request A revised version of the same method, incorporating code review suggestions
🎯 Purpose To enable models to learn fine-grained, real-world code changes suggested during pull request reviews. Ideal for:
- Method-level code generation
- Code completion
- Refactoring suggestions
- Review automation
🔍 Source Mined from public GitHub repositories using GraphQL and REST APIs. Pull request review suggestions were extracted and aligned with method-level changes. For more on how suggestions work in GitHub PRs, see: Incorporating Feedback in Your Pull Request https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/reviewing-changes-in-pull-requests/incorporating-feedback-in-your-pull-request