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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)
> **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 and the
> full batch passed independent replay (`evidence/REPLAY.json`: status
> passed). `evidence/execution-log.jsonl` is harness telemetry, not training
> rows, and is excluded from the viewer projection.
## Contents
132 candidates (150 requested; 18 duplicate mutants + 4 siteless programs skipped):
| 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>`.
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