DocumentationContributing

Contributing

Learn how to contribute datasets, language resources, research, code, documentation, and ideas to Axomiya AI Foundry.

Axomiya AI Foundry is an open initiative. Contributions can include data, speech resources, research, code, documentation, testing, and practical ideas that help strengthen Assamese AI infrastructure.

What you can contribute

You can contribute language resources, datasets, speech recordings, research, code, documentation, testing, and ideas.

Contributions should be useful, clearly described, and shared in a way that allows others to understand and build on the work.

Datasets and language resources

Help expand Assamese language resources and datasets for AI, speech technology, and language research.

Code and tooling

Improve existing projects, build supporting tools, fix issues, and propose practical technical improvements.

Research

Share research, experiments, findings, benchmarks, and references that can help advance Assamese AI.

Documentation

Improve explanations, examples, guides, and technical documentation so the ecosystem is easier to understand and use.

Before contributing

Please understand the purpose and scope of the project you are contributing to.

For datasets and other community resources, make sure the source, permissions, licensing, and relevant usage conditions are clearly understood.

When contributing code or documentation, keep changes focused and explain what was changed and why.

A simple contribution workflow

Start by exploring the relevant project, dataset, or documentation.

Identify an improvement or contribution that is useful to the community.

Prepare the contribution with clear context and supporting information.

Submit the contribution through the project's documented contribution channel.

Be open to review, discussion, and iteration.

Quality matters

The goal is not simply to collect more data or code. Contributions should improve the quality, usefulness, accessibility, or sustainability of Assamese AI infrastructure.

Clear metadata, responsible sourcing, reproducibility, and useful documentation make community contributions more valuable over time.