Tool · Beta

Bayanat Labs Dataset Template and Release Kit

The repository template that new Bayanat Labs open datasets are generated from, starting with this version. A generated repository carries a bilingual card, a licence on every record, a provenance ledger, a claims ledger, release files and a pipeline skeleton. The release kit adds a card linter (bl-card-lint), a release-gate checker (bl-gates), a manifest builder (bl-manifest) and a card renderer (bl-card-render). The standard and its card checklist are explained on the dataset standard page.

By Bayanat Labs· Updated · Apache-2.0· اقرأ بالعربية
LicenceApache-2.0 (code); CC BY 4.0 (standard and docs)
Versionv0.1.0 · Template, release standard and release kit v0.1.0.
Published
Updated
Who it is forTeams that publish Arabic datasets on Hugging Face and want a bilingual card, per-record licences and release checks from the start.
LevelIntermediate

dataset card template Arabic dataset card copier template dataset release checklist Hugging Face dataset card

Downloads and identifiers

Get started

Generate a repository and run the checks (the release kit installs from the template repository until it is published on PyPI)

pip install "copier==9.18.0"
copier copy --vcs-ref v0.1.0 gh:Bayanat-Labs/dataset-template my-arabic-dataset
cd my-arabic-dataset
pip install "bayanatlabs-release-kit @ git+https://github.com/Bayanat-Labs/dataset-template@v0.1.0#subdirectory=kit/bayanatlabs-release-kit"
make lint gates

What is released

PartLicenceIn this release
Copier template, release kit, schemas and scriptsApache-2.0Yes
Release standard, card checklist and documentation (docs/, standard/)CC BY 4.0Yes

Attribution: Template by Bayanat Labs (bayanatlabs.com/open/standard)

Intended uses

  • Generate a new dataset repository with a bilingual card, ledgers and release files.
  • Lint a dataset card and run the release gates before publishing.
  • Reuse the card checklist for any Arabic dataset.

Out of scope

  • A dataset: the template contains no data.
  • A substitute for checking the rights of each source: the checks read the licence and provenance records you provide.

Rights at a glance

Training, display, redistribution and synthetic-voice use are separate permissions.

UseStatusNote
TrainingAllowedCode under Apache-2.0; standard and docs under CC BY 4.0.
DisplayAllowedCC BY 4.0 for the standard and docs, with attribution.
RedistributionAllowedCode under Apache-2.0; standard and docs under CC BY 4.0 with attribution.
Synthetic voiceNot applicableCode and documents only.

Limitations

  • Bayanat Labs releases made before v0.1.0 do not follow the template yet.
  • The release kit installs from the template repository until it is published on PyPI.

Sources and licences

Written by Bayanat Labs. The card sections build on the Hugging Face dataset card guidance, Datasheets for Datasets and the section structure of the FineWeb card.

How to cite

Cite as:

Bayanat Labs (2026). Bayanat Labs dataset template and release standard, version 0.1.0. Bayanat Labs. https://github.com/Bayanat-Labs/dataset-template

No DOI. Cite the URL in the citation above and the date you read it.

@misc{bayanatlabs2026datasettemplate,
  author       = {{Bayanat Labs}},
  title        = {Bayanat Labs dataset template and release standard, version 0.1.0},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://github.com/Bayanat-Labs/dataset-template}}
}

How we handle citations

Changelog

DateVersionChange
v0.1.0First public version of the template, the release standard and the release kit.

Corrections and removal requests

If something in this release should not be there, or is wrong, email hello@bayanatlabs.com. We handle removal requests within 30 days, and platform requests within 24 hours. How removal requests work

Related product: Bayanat Knowledge

Need production-grade, rights-cleared data?

We publish synthetic fixtures, open benchmarks, results, code and guides for free. Data at scale is licensed or built to order: ready-to-license Arabic speech and text datasets with commercial AI-use rights written into the agreement, and custom collection, annotation and evaluation.

Bayanat Knowledge: License books, subject-organized MSA text, and structured question-answer data. Each collection has a clear training task, with its own counts and licensing details.