datasheet-ci 0.2.0

Validate required Datasheet, Model Card, and Data Card headings with warning-only PII pattern checks.

datasheet-ci Python Validator

Validate one local Datasheet, Model Card, or Data Card and receive structured missing-section and PII-pattern evidence.

This source-only Python package is for authors who want the same required-heading lists used by AuraOne Datasheet CI before opening a pull request.

Inspectable Output

The CLI writes JSON with ok, missing, and warning-only piiWarnings for the supplied file.

Runtime Boundary

The CLI reads one local Markdown file and performs local regular-expression checks. It makes no network requests, uploads no document content, and does not determine whether a matched string is actually personal data.

Install and Quickstart

From the datasheet-ci repository root:

python -m pip install ./python_validator
datasheet-ci examples/valid_datasheet.md
datasheet-ci examples/invalid_datasheet.md
datasheet-ci path/to/model-card.md --kind model_card

Release Status

Verified July 13, 2026: source metadata is 0.2.0, but the datasheet-ci name is not published on PyPI and no python-v0.2.0 tag exists. Install from this source directory until a Python release is published.

Limits

This validator checks completeness signals, not factual accuracy, privacy compliance, or documentation quality.

Next Action

Install the validator from python_validator/, run it on the document you plan to submit, add every missing heading, and review each PII-like match manually before opening the pull request.