Datasets:
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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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---
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Splits: 80% train, 10% validation, 10% test.
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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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---
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Splits: 80% train, 10% validation, 10% test.
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---
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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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Associated metadata, such as repository details and pull request context
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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
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