GitHub Public Pull Request Comments

Over 13 MILLION pull request comments
Dataset used for the master's thesis "LLMs for Code Comment Consistency." Covers the languages Go, Java, JavaScript, TypeScripp, and Python. All data is mined from permissively-licensed GitHub public projects with at least 25 stars and 25 pull requests submitted at the time of access.

This dataset pertains specifically to **pull request comments that are made on files.** In other words, every comment in this dataset is linked to a specific file in a pull request.

### What can I do with this data?
Anything you want, of course, but here are some starter ideas:
- Sentiment analysis of comments, is there a correlation between number of contributions and positivity of reviews?
- Pull request comment generation: can we automatically make code review comments?
- PR text mining: can we mine out examples of a specific type of comment? (in my project, this was comments about function documentation)

The mining code is publicly accessible.

Each file is a JSON object where each key is a Github repository, and each value is a pull request comment in that repository.