README.md

metadata

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, 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; 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)

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.