Hugging Face's logo

Datasets:
Quad4
/
commit-messages-high-quality

Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
100K - 1M
Tags:
commit-message
conventional-commits
git
software-engineering
code
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
commit-messages-high-quality / README.md
Quad4's picture
Quad4
Add cleaned commit-message dataset (default + training_view configs)
bbba6db verified
preview code
|
Raw History Blame Contribute Delete
5.38 kB
metadata 
license: other
license_name: various-permissive-open-source-licenses
task_categories:
  - text-generation
language:
  - en
tags:
  - commit-message
  - conventional-commits
  - git
  - software-engineering
  - code
size_category:
  - 100K<n<1M
pretty_name: Commit Messages from High-Quality Repositories
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.jsonl
      - split: validation
        path: data/val.jsonl
      - split: test
        path: data/test.jsonl
  - config_name: training_view
    data_files:
      - split: train
        path: training_view/train.jsonl
      - split: validation
        path: training_view/val.jsonl
      - split: test
        path: training_view/test.jsonl

Commit Messages from High-Quality Repositories

292,269 cleaned git commit messages scraped from the full histories of 15 well-regarded open-source projects, balanced across two styles: normal (196,372) and conventional commits (95,897).

Dataset Summary

  • Each record contains the commit subject, body, plus metadata: repo, sha, date, author, and labels: style (normal/conventional), type (fix, feat, docs, ...), scope, breaking.
  • Heavy cleaning: GitHub squash suffixes (#123) stripped, bot/automated commits removed, canned boilerplate removed, exact duplicates removed, git trailers (Signed-off-by etc.) stripped from bodies, junk subjects ("wip", "update", ...) removed.
  • Temporal split: train is the oldest ~98% of commits, validation the next ~1%, test the newest ~1%. No train/eval temporal leakage: every eval commit is newer than every train commit.

Supported Tasks

  • text-generation: commit message generation, style modeling, conventional-commit classification, software-engineering NLP.

Usage 

from datasets import load_dataset

ds = load_dataset("USERNAME/REPO", "default")          # full metadata records
view = load_dataset("USERNAME/REPO", "training_view")  # prompt/completion pairs (body -> subject)

training_view maps a change description (the commit body) to the commit subject line and is formatted for fine-tuning tools such as Unsloth, with explicit prompt and completion columns.

Source Repositories

Repository URL Commits in dataset
postgres https://github.com/postgres/postgres 57,971
openssl https://github.com/openssl/openssl 53,169
angular https://github.com/angular/angular 39,465
curl https://github.com/curl/curl 37,130
ant-design https://github.com/ant-design/ant-design 22,853
neovim https://github.com/neovim/neovim 22,096
babel https://github.com/babel/babel 13,719
vite https://github.com/vitejs/vite 8,209
eslint https://github.com/eslint/eslint 7,837
tmux https://github.com/tmux/tmux 7,618
vue-core https://github.com/vuejs/core 7,540
vitest https://github.com/vitest-dev/vitest 5,120
nestjs https://github.com/nestjs/nest 4,147
chart-js https://github.com/chartjs/Chart.js 3,718
axios https://github.com/axios/axios 1,677

Upstream Licenses

Commit messages are inherited from their source projects. Repositories under copyleft or source-available licenses (git: GPL-2.0; redis: BSD-3 / RSALv2 / SSPLv1) were excluded as a precaution: software licenses technically cover the licensed program rather than VCS metadata, but commit messages are therefore not openly licensed either, and longer commit bodies can constitute original expression of their authors. Only permissively-licensed projects are included:

Repository License
angular/angular MIT
vuejs/core MIT
vitejs/vite MIT
babel/babel MIT
eslint/eslint MIT
ant-design/ant-design MIT
axios/axios MIT
nestjs/nest MIT
chartjs/Chart.js MIT
vitest-dev/vitest MIT
curl/curl curl (MIT-style)
neovim/neovim Apache-2.0 / VIM
tmux/tmux ISC
openssl/openssl Apache-2.0
postgres/postgres PostgreSQL License

Users should still respect upstream license terms when redistributing or using this dataset commercially.

Cleaning Statistics

Filter Records dropped
duplicate 77,038
bad_subject 16,190
bot_or_automated 26,432
license_excluded 83,369
canned_message 9,943

Splits

Split Records Date range
train 286,425 1996-07-09 → 2026-07-14
validation 2,922 2026-07-14 → 2026-08-20
test 2,922 2026-08-20 → 2026-09-23

Privacy

  • No author names or email addresses are included. Records are identified only by content sha + repository, which preserves verifiable provenance without identifying individuals.
  • Note: commit bodies may reference contributor names in prose (e.g. credit lines), as these are part of the historical commit text itself.

Limitations

  • English-dominant; commit messages from a single ecosystem of C/C++ and JavaScript/TypeScript projects.
  • No diffs attached: the dataset describes what was written, not the code change itself.
  • Bodies are truncated at 2,000 characters.
  • Human authors made the source commits; quality varies by repository and era.

Reproduction

Built with a two-stage pipeline (blobless git clone --filter=blob:none, then git log export and rule-based cleaning). See stats.json for exact counts.