| --- |
| license: cc-by-4.0 |
| pretty_name: "coauthored: AI-attributed commits in AI infrastructure repositories, 2023–2026" |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - software-engineering |
| - mining-software-repositories |
| - git |
| - ai-assisted-programming |
| - provenance |
| configs: |
| - config_name: repo_month |
| data_files: aggregated/repo_month.parquet |
| - config_name: repo_month_tool |
| data_files: aggregated/repo_month_tool.parquet |
| --- |
| |
| # coauthored: AI-attributed commits in AI infrastructure repositories, 2023–2026 |
|
|
| Monthly counts of AI-attributed commits from the default-branch history of 96 public GitHub repositories, |
| cloned on one UTC day (2026-10-28): 42 repositories that train, fine-tune, evaluate and serve AI models (S1), 12 |
| open-source coding-agent harnesses (S2), and 42 popular non-AI repositories matched on stars and activity (S3). |
| Non-merge commits in the study window (2023-01 to 2026-09, primary |
| specification, before shared-history deduplication): S1 407,527, S2 118,672, S3 374,109. |
|
|
| A commit is **AI-attributed** when its message carries a co-author trailer naming an AI tool, its author or |
| committer is an AI-agent account, or it carries a tool's generated-with marker, as listed in the pre-registered |
| signature catalogue (`configs/signatures.yaml`, three public evidence URLs per entry). Attribution is a |
| **lower bound** on AI involvement: tools can be configured not to attribute, attribution can be lost at merge, |
| and some tools never attribute. An attributed commit is not a commit "written by AI". |
|
|
| Paper: *How Much of the Code That Trains the Models Declares AI Help?* |
| ([PDF](https://github.com/thanatchon36/coauthored/blob/main/paper/coauthored.pdf)). |
| Code: <https://github.com/thanatchon36/coauthored>. |
|
|
| *Independent personal research. Public data only. Does not represent the views of any employer or institution.* |
|
|
| ## Privacy |
|
|
| As pre-registered (§11), only aggregates are released: **no per-commit records, no names, no e-mail |
| addresses, no commit messages and no identity hashes**. Author and committer identities were salted and hashed |
| at ingest only to count distinct authors per repository-month. The survival and size samples are one row per |
| sampled pull request or commit, with the repository and month but **no PR number and no commit SHA**. Do not use |
| this dataset to profile individual developers. |
|
|
| ## Files |
|
|
| | path | content | |
| |---|---| |
| | `aggregated/repo_month.parquet` | commits, attributed commits, active and attributing authors per repository-month, six specifications, with and without shared-history deduplication | |
| | `aggregated/repo_month_tool.parquet` | attributed commits per repository-month and tool | |
| | `aggregated/reverts.parquet` | window commits and later reverts per repository-month and attribution status | |
| | `data/survival.csv` | sampled merged pull requests (no PR numbers): merge method, attribution on head commits and on the landed commit | |
| | `data/size_sample.csv` | 2,000 sampled commits (no SHAs): month, attribution, files changed, insertions, deletions | |
| | `data/policy.csv`, `configs/policy_overrides.yaml` | AI-contribution policy class per repository, with hand corrections | |
| | `data/manifest.json` | snapshot date, head SHA, default branch, commit counts, git version per repository | |
| | `configs/` | frozen signature catalogue, bot list, repository lists; `data/s3_match.json` matching output | |
| | `SHA256SUMS` | checksums of every file above | |
|
|
| ## Method |
|
|
| Pre-registered (`PREREGISTRATION.md`, tag `prereg-v1`); deviations in `DEVIATIONS.md`. Code: the `coauthored` |
| package (Apache-2.0). The paper's tables and figures rebuild from these files; the aggregates themselves rebuild |
| from a fresh scan of the public repositories (`REPRODUCE.md`). |
|
|
| ## Licence |
|
|
| CC BY 4.0. Commit metadata derives from public repositories under their own licences. |
|
|
