codereview
github-codereview
Code Review Dataset
A large-scale dataset of the best human-written code reviews from top GitHub repositories.
Each row captures a moment where a human code reviewer left an inline comment on a pull request, and the author subsequently modified the code in response.
The dataset also includes negative examples — code from the same PRs that passed review without comments — to help models learn when code is acceptable.
This provides a natural signal for training models to:
Generate… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/github-codereview.CodeReviewWithSummaryQAcodereviewercode-review-instruct-critique-revision
Dataset Card for "code-review-instruct-critique-revision"
More Information needed
CodeReviewQA CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
The task of automated code refinement aims to automate the developer's perspective in resolving an actionable code review comment provided by a reviewer.
This is a generative task, where the LLM is required to revise a pre-review code submission with respect to the natural language code review comment to produce an intended post-review code revision.
CodeReviewQA further breaks down this generative task… See the full description on the dataset page: https://huggingface.co/datasets/Tomo-Melb/CodeReviewQA.code-review-preference-pairs
Code Review Preference Pairs
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated payload is now published under
data/raw/. It is available for inspection and reproducibility… See the full description on the dataset page: https://huggingface.co/datasets/rmems/code-review-preference-pairs.