| --- |
| annotations_creators: |
| - no-annotation |
| language: |
| - en |
| language_creators: |
| - found |
| license: |
| - other |
| multilinguality: |
| - monolingual |
| pretty_name: GitHub Issue→PR Resolution Dataset (10K Sample) |
| size_categories: |
| - 10K<n<100K |
| source_datasets: |
| - original |
| tags: |
| - code |
| - github |
| - software-engineering |
| - swe-agent |
| - issue-resolution |
| - pull-request |
| - python |
| - training-data |
| task_categories: |
| - text-generation |
| - other |
| --- |
| |
| # GitHub Issue→PR Resolution Dataset — 10K Sample |
|
|
| **This is a 10,000-record sample. The full dataset (~354,000 records) is available for purchase. Contact** `andrewcampi456@gmail.com` **for licensing details.** |
|
|
| --- |
|
|
| ## What is this? |
|
|
| A large-scale dataset of resolved GitHub issues paired with their linked pull requests, code diffs, commits, and review discussions, all from production-quality Python repositories. |
|
|
| Each record captures the complete lifecycle of a software fix: |
|
|
| ``` |
| Issue (problem statement) |
| └── Pull Request(s) (proposed fix, discussion) |
| └── Code diff (file-level patches) |
| └── Review comments (inline feedback) |
| └── Commits (change history) |
| ``` |
|
|
| --- |
|
|
| ## Why it matters |
|
|
|
|
| | Dataset | Tasks | Notes | |
| | ----------------------- | ----------- | ---------------------------------------------- | |
| | SWE-bench Verified | 500 | Current gold standard for SWE agent evaluation | |
| | SWE-bench Full | 2,294 | Widely used research benchmark | |
| | **This dataset (full)** | **354,257** | **~150x SWE-bench Full** | |
|
|
|
|
| SWE-bench Verified is the benchmark every SWE agent is evaluated against. This dataset is ~150× larger and structured for **training**, not just evaluation. |
|
|
| --- |
|
|
| ## Sample stats (this file) |
|
|
|
|
| | Metric | Value | |
| | ------------------------ | ------ | |
| | Records | 10,000 | |
| | Unique repositories | 5,040 | |
| | PRs with code diffs | 11,943 | |
| | PRs with review comments | 4,269 | |
|
|
|
|
| ## Full dataset stats |
|
|
|
|
| | Metric | Value | |
| | ------------------------------- | ---------- | |
| | Records | 354,257 | |
| | Unique repositories | 6,156 | |
| | Estimated Python code additions | ~32M lines | |
| | Uncompressed size | 6.1 GB | |
| | Compressed size | 1.4 GB | |
| | Data current through | May 2026 | |
|
|
|
|
| --- |
|
|
| ## Schema |
|
|
| ```json |
| { |
| "repo": "pydantic/pydantic", |
| "stars": 27668, |
| "license": "MIT", |
| "issue": { |
| "number": 1234, |
| "title": "ValidationError message unclear for nested models", |
| "body": "When I have a nested model...", |
| "state": "closed", |
| "labels": ["bug"], |
| "created_at": "2025-11-03T10:22:00Z", |
| "closed_at": "2025-11-10T14:05:00Z", |
| "author": "username" |
| }, |
| "pull_requests": [ |
| { |
| "number": 1235, |
| "title": "Improve nested validation error messages", |
| "body": "Fixes #1234 by...", |
| "state": "closed", |
| "merged": true, |
| "merged_at": "2025-11-10T14:05:00Z", |
| "created_at": "2025-11-07T09:11:00Z", |
| "author": "contributor", |
| "diff": [ |
| { |
| "filename": "pydantic/errors.py", |
| "status": "modified", |
| "additions": 12, |
| "deletions": 3, |
| "patch": "@@ -45,7 +45,16 @@\n ..." |
| } |
| ], |
| "review_comments": [ |
| { |
| "author": "maintainer", |
| "body": "Can we add a test for the edge case where...", |
| "created_at": "2025-11-08T11:30:00Z" |
| } |
| ] |
| } |
| ], |
| "commits": [ |
| { |
| "sha": "a1b2c3d4e5f6", |
| "message": "Improve nested validation error messages", |
| "author": "contributor", |
| "date": "2025-11-09T16:45:00Z" |
| } |
| ] |
| } |
| ``` |
|
|
| --- |
|
|
| ## Repository coverage (sample) |
|
|
| Includes issues and PRs from well-known production Python projects across ML, web, data, DevOps, and infrastructure: |
|
|
| `apache/airflow` · `huggingface/transformers` · `huggingface/diffusers` · `pydantic/pydantic` · `ray-project/ray` · `streamlit/streamlit` · `sqlfluff/sqlfluff` · `python-poetry/poetry` · `pydata/xarray` · `PrefectHQ/prefect` · `gradio-app/gradio` · `Lightning-AI/pytorch-lightning` · `getmoto/moto` · `conan-io/conan` · `zulip/zulip` · and 5,000+ more. |
|
|
| --- |
|
|
| ## Licenses |
|
|
| All source repositories are permissively licensed (MIT or Apache-2.0). The dataset is derived from public GitHub data. |
|
|
| --- |
|
|
| ## Full dataset |
|
|
| The complete 354,257-record dataset is available for commercial licensing. |
|
|
| - **Format:** JSONL + Parquet (both provided) |
| - **Size:** 6.1 GB uncompressed / 1.4 GB compressed |
| - **License:** Commercial license, negotiable |
| - **Built:** 29-day continuous scrape completed June 2026 |
|
|
| **Contact:** `andrewcampi456@gmail.com` (or HuggingFace direct message) |
