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| pretty_name: Python Function Repair Records (2026-10-06) | |
| license: apache-2.0 | |
| language: | |
| - en | |
| tags: | |
| - synthetic-data | |
| - code-repair | |
| - software-engineering | |
| - deterministic-execution | |
| - procedural | |
| - curation | |
| - provenance | |
| - research-snapshot | |
| configs: | |
| - config_name: viewer | |
| data_files: | |
| - split: train | |
| path: data/viewer/records.parquet | |
| dataset_info: | |
| - config_name: viewer | |
| features: | |
| - name: source_file | |
| dtype: string | |
| - name: source_line | |
| dtype: int64 | |
| - name: record_json | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_examples: 132 | |
| num_bytes: 3542499 | |
| # Python Function Repair Records (2026-10-06, deterministic) | |
| **Generated:** 2026-10-06 (run `cr-20261006`, `produced_at` 2026-10-06T00:00:00Z) · **Published to the Hub:** 2026-10-07 | |
| > **Rights & intended use:** public **research snapshot**, not training data. | |
| > Deterministic, project-owned generation over real MIT-licensed upstream | |
| > programs (TheAlgorithms/Python @ `2067ce6dfb3`, MIT — see | |
| > `provenance.json`): `intended_use: training_candidate`, | |
| > `project_training_policy: allowed` per the factory registry — but this raw | |
| > snapshot is **not training-ready** (`release-status.json`: | |
| > `release_stage: raw_uncurated_public`, `training_ready: false`). | |
| > Machine-readable record: [`provenance.json`](./provenance.json). | |
| > License: [Apache-2.0](./LICENSE) for generated content; upstream programs | |
| > remain MIT by their authors. There is no `rights.json`: the repo's rights | |
| > schema (v0.1.0) only models hosted-frontier provider routes, so procedural | |
| > rights are declared here and in `provenance.json` instead. | |
| > **Verification:** every candidate carries its execution evidence, but | |
| > independent replay covered only part of the batch: `evidence/REPLAY.json` | |
| > reports 97 of 132 candidates replayed and passed, 0 failed, and 35 not | |
| > replayed (all 22 rejected rows plus 13 accepted rows whose hidden check was | |
| > unavailable); its overall `status: passed` applies to the replayed subset. | |
| > The 132 rows mix 110 accepted and 22 rejected outcomes, with 115 validated | |
| > and 17 provisional oracle statuses (`evidence/RUN.json`); per-row | |
| > `validation.status` is `unvalidated`. `evidence/execution-log.jsonl` is | |
| > harness telemetry, not training rows, and is excluded from the viewer | |
| > projection. | |
| ## Contents | |
| 132 candidates (110 accepted, 22 rejected) from 150 requested draws: 18 draws | |
| were skipped as duplicate mutants; separately, 4 of the 197 catalog programs | |
| have no mutation sites and were excluded from the draw pool: | |
| | file | records | sha256 | | |
| | --- | --- | --- | | |
| | `data/raw/candidates.jsonl` | 132 | `743327ef7a49`… | | |
| Viewer projection: `data/viewer/records.parquet` (132 rows, lossless | |
| `source_file` / `source_line` / `record_json`; Data Studio `viewer` config). | |
| ## Reproduce | |
| From the factory repo: | |
| `python3 pipelines/code_repair_cli.py generate --catalog catalogs/python-repair-v1 --seed 20261006 --count 150 --out <run-dir>` | |
| then `replay --run <run-dir> --catalog catalogs/python-repair-v1 --out <replay-dir>`. | |