README.md

---
dataset_info:
- config_name: annotated
  features:
  - name: messages
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
  - name: language
    dtype: string
  - name: prompt_type
    dtype: string
  - name: lint_errors
    dtype: int64
  - name: cyclomatic_complexity
    dtype: int64
  - name: license
    dtype: string
  - name: commit
    dtype: string
  - name: repos
    dtype: string
  - name: new_file
    dtype: string
  - name: status
    dtype: string
  - name: error
    dtype: string
  - name: is_valid_syntax
    dtype: bool
  splits:
  - name: train
    num_bytes: 338825015
    num_examples: 145058
  download_size: 291448763
  dataset_size: 338825015
- config_name: sft
  features:
  - name: messages
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
  - name: language
    dtype: string
  - name: prompt_type
    dtype: string
  - name: lint_errors
    dtype: int64
  - name: cyclomatic_complexity
    dtype: int64
  - name: license
    dtype: string
  - name: commit
    dtype: string
  - name: repos
    dtype: string
  - name: new_file
    dtype: string
  splits:
  - name: train
    num_bytes: 276611786
    num_examples: 122018
  download_size: 242436696
  dataset_size: 276611786
configs:
- config_name: annotated
  data_files:
  - split: train
    path: annotated/train-*
- config_name: sft
  data_files:
  - split: train
    path: sft/train-*
language:
- code
- en
license: other
source_datasets:
- bigcode/commitpackft
task_categories:
- text-generation
pretty_name: CodeAlign curated CommitPackFT
license_name: per-sample-permissive
tags:
- code
- sft
- commitpackft
- code-quality
---

# CodeAlign — curated CommitPackFT (8 languages)

Instruction/code pairs from [`bigcode/commitpackft`](https://huggingface.co/datasets/bigcode/commitpackft), filtered for syntax validity (tree-sitter), per-language lint errors, cyclomatic complexity, internal duplication and cross-sample near-duplicates (MinHash/LSH). Built as the SFT set of [CodeAlign](https://github.com/Sergasgr/codealign); the pipeline, thresholds and the full curation report live in that repository.

| config | rows | contents |
|---|---|---|
| `sft` (default) | 122,018 | accepted samples — the SFT training set minus the rows dropped for secrets (see Privacy) |
| `annotated` | 145,058 | every processed sample with its curation verdict (`status`, `error`) |

```python
from datasets import load_dataset
sft = load_dataset("Sergasgr/codealign-commitpackft", "sft", split="train")
```

## Format

`messages` is ChatML (`user` prompt, `assistant` target file). Two prompt types, derived from the commit itself: `new_file` (write-from-spec; commit created the file) and `edit` (existing file + commit message as instruction). 84.6% of `sft` rows are `edit`.

## Languages (`sft`)

| language | rows |
|---|---|
| javascript | 45,084 |
| python | 39,725 |
| java | 15,779 |
| c_sharp | 8,062 |
| typescript | 4,339 |
| cpp | 3,668 |
| go | 3,034 |
| rust | 2,327 |

## Licensing and provenance

Only samples whose upstream `license` is one of apache-2.0, bsd-2-clause, bsd-3-clause, cc0-1.0, isc, mit, unlicense are included; the licence of every sample is in its `license` column and applies to that sample's code.

| license | `sft` rows |
|---|---|
| mit | 76,499 |
| apache-2.0 | 26,849 |
| bsd-3-clause | 11,913 |
| bsd-2-clause | 3,887 |
| isc | 1,423 |
| unlicense | 985 |
| cc0-1.0 | 462 |

As in CommitPackFT, each row keeps its source `commit` and `repos` so the copyright holder can be identified (100.0% of `sft` rows carry provenance). Code authors who want their code removed can open an issue on the GitHub repository.

## Known issues in the quality columns

`lint_errors` holds the values computed by the v1.0 curation run, which had linter bugs (the data was not re-curated):
- **C++, JavaScript, TypeScript:** `lint_errors` is always 0, so these languages were filtered on syntax, complexity and duplication only. cpplint's total was parsed from the wrong output stream (fixed in the repository afterwards); ESLint ≥ 9 rejects the `--no-eslintrc` command line (still open).
- **Python:** every value includes ruff's summary line (+1, or +2 when ruff also printed a fix hint), so the actual number of violations is 1–2 lower (fixed in the repository afterwards).

## Privacy

- Rows containing a high-confidence secret (private key blocks, AWS / GitHub / Slack / Google / Stripe credentials) were dropped: 48 from `sft`, 56 from `annotated`.
- E-mail addresses (other than documentation and GitHub no-reply domains) were replaced with `<EMAIL>` in 8,272 `sft` rows.
- Detection is pattern-based and will miss some personal data; do not use this dataset to identify individuals.

## Decontamination

13-gram overlap of every HumanEval and MBPP problem (prompt + canonical solution) against the Python samples is reported in `src/notebooks/01_curation_report.ipynb` of the GitHub repository.

## Citation

Upstream data: Muennighoff et al., *OctoPack: Instruction Tuning Code Large Language Models* (2023), arXiv:2308.07124.