| --- |
| license: other |
| task_categories: [text-classification] |
| tags: [fault-localization, code, swe-bench, patchpilot] |
| --- |
| # PatchPilot fault-localization dataset |
|
|
| Training data for PatchPilot's fault-localization cross-encoder (A1): pairs of a **bug report** |
| and a **code candidate** (a file or a function), labelled 1 if the developers' fix edits that |
| candidate. |
|
|
| ## Source |
|
|
| Built by `scripts/build_localization_data.py` (seed 42) from three public datasets by Princeton NLP: |
|
|
| | Dataset | Used for | |
| |---|---| |
| | `princeton-nlp/SWE-bench` (train split) | issue text, gold patch, repository | |
| | `princeton-nlp/SWE-bench_oracle` (train) | contents of the files the gold patch edits | |
| | `princeton-nlp/SWE-bench_bm25_27K` (train) | contents of BM25-retrieved files (hard negatives) | |
|
|
| Only the SWE-bench **training** split is used. Its 35 repositories are disjoint from the 12 |
| repositories of SWE-bench Lite (our evaluation set). |
|
|
| ## Leakage check |
|
|
| `scripts/check_leakage.py` compares every selected training instance, and the whole training |
| split, with all 300 SWE-bench Lite test instances on repository, instance id, normalised issue |
| text and normalised gold patch. Result (`results/leakage_check.json`): **zero overlap on all four |
| keys**. |
|
|
| ## Construction |
|
|
| 1. **Selection:** at most 400 instances per repository (seeded), so `pandas` (5,049 instances) does |
| not dominate. |
| 2. **Labels:** the gold patch is parsed into edited files and original-file line numbers |
| (insertions are attributed to the preceding line); Python's `ast` maps those lines to the |
| innermost enclosing function. Test files, non-Python files and newly created files are not |
| localization targets. |
| 3. **Candidates:** gold files + BM25-retrieved Python files. Functions: every function of a gold |
| file (positives and in-file hard negatives) and up to 40 functions of each other file. |
| 4. **Text views:** a file is its path plus class/function signatures and one-line docstrings |
| (max 3,000 characters); a function is `path::Qualified.name` plus its source (max 2,000 |
| characters); the query is the issue text (max 4,000 characters). |
| 5. **Splits:** by repository (whole repositories go to train, validation or test), so validation |
| and test measure generalisation to unseen codebases. |
|
|
| ## Size |
|
|
| From `results/localization/dataset_stats.json` and `results/localization/dataset_function_stats.json`: |
|
|
| | Split | Repositories | Instances | File candidates (positive) | Function candidates (positive functions) | Instances with a gold function | |
| |---|---|---|---|---|---| |
| | train | 26 | 6,329 | 44,665 (15,931) | 824,343 (26,794) | 5,378 | |
| | val | 5 | 1,020 | 6,382 (3,188) | 125,239 (4,116) | 888 | |
| | test | 4 | 1,212 | 7,296 (3,263) | 208,766 (6,066) | 1,107 | |
|
|
| - Validation repositories: huggingface/transformers, open-mmlab/mmdetection, pypa/pip, scipy/scipy, |
| tiangolo/fastapi. Test repositories: apache/airflow, conda/conda, explosion/spaCy, |
| mesonbuild/meson. No repository appears in more than one split. |
| - Of the 8,867 selected instances, 101 do not appear in `SWE-bench_oracle`'s train split and 205 |
| edit no existing non-test Python file; the remaining 8,561 were built. |
| - Median candidates per instance: 5-6 files and 91-112 functions. |
| - **Module-level edits:** an edited line outside any function (imports, class attributes, new |
| top-level code) is labelled `path::<module>` (10,268 / 2,073 / 2,000 such labels in |
| train / val / test). No candidate is ever a whole module, so these labels are excluded from |
| function-level scoring (`function_targets()`); 951 / 132 / 105 instances only edit module-level |
| code and are therefore scored at file level only. The `positive_functions` field of |
| `dataset_stats.json` counts these labels too. |
|
|
| ## Format |
|
|
| `{train,val,test}.jsonl.gz`, one JSON object per instance: |
|
|
| ```json |
| {"instance_id": "...", "repo": "owner/name", "split": "train", "query": "issue text", |
| "gold_files": ["pkg/mod.py"], "gold_units": ["pkg/mod.py::Class.method"], |
| "files": [{"cid": "pkg/mod.py", "text": "skeleton", "label": 1}, ...], |
| "units": [{"cid": "pkg/mod.py::Class.method", "text": "source", "label": 1}, ...]} |
| ``` |
|
|
| ## Limitations |
|
|
| - Python only; issue text only (no failing-test output, unlike PatchPilot's agent at run time). |
| - BM25 candidates come from the SWE-bench 27K-token retrieval, so a file's negatives are capped by |
| what fit in that context. |
| - Labels mark what the developers edited; a different correct fix could edit other places. |
|
|
| ## Licence |
|
|
| Derived from SWE-bench (MIT). The underlying code belongs to the respective open-source projects |
| under their own licences. |
|
|
