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