African Language Data

How to Scope an African-Language Data Project

A practical starting point for defining language varieties, data types, speaker or contributor needs, documentation, and quality criteria before collection begins.

Start with the intended use Describe what the data will help a team research, train, evaluate, or understand. A clear use case helps determine the format, sample design, and quality criteria.

Specify the language variety Record the target language, dialect or variety, script, region where relevant, and any domain-specific context. Do not treat a language name as a complete specification when variation matters to the task.

Define the data and metadata Clarify whether the project needs speech, text, translations, annotations, or a combination. Specify file formats, metadata fields, naming rules, and documentation before collection starts.

Plan quality and responsible collection Write contributor instructions, review criteria, consent and privacy requirements, and a process for resolving unclear cases. Agree how errors will be recorded and corrected.

Before work begins Confirm scope, feasibility, timeline, data access, and acceptance criteria with the project team. Availability and language coverage should be verified for each project rather than assumed.

African Language Data

How can Langigs help?

Whether you are planning a language or AI data project or building your professional skills, choose the next step that fits you.