Public task preview

Task preview

This page shows the shape of future Voice Bench SA tasks before any live contributor collection. No upload happens on this page, and these examples are not production data, paid work, or a claim of live users.

The goal is to make each task tiny, private-detail-free, reviewable, and useful for South African language evaluation.

Contributor opt-in page View demo spine Email Voice Bench

1. Say it

voice_simple_greeting_v0

Make a 5-15 second voice note in the requested language or accent. Example: say a simple greeting naturally, without names, addresses, ID numbers, bank details, or private stories.

Task version: voice-simple-greeting-v0
Language tags: xh, af, en-ZA, mixed

2. Type it

self_transcript_exact_words_v0

Type exactly what was said. The task is not to improve the sentence or make it sound formal. South African wording, pronunciation, and ordinary local phrasing should stay visible.

Output: Exact transcript plus optional correction note
Guard: Private-content hold blocks export

3. Check it

Independent review

A different person reviews whether the audio, transcript, and correction match. The final reviewer cannot be the speaker or the correction worker.

Decision: accept, needs_more_review, or reject
Benchmark rule: Self-reviewed rows stay out of export

Readiness gates

Checked before live collection

Consent, 18+ confirmation, points, withdrawal, and STOP or DELETE handling are explained first.
WhatsApp warm-up and provider health must pass before outbound task routing.
Human/native local-language review is still required before non-founder isiXhosa outreach.
Accepted export rows need expected_language, task_version, provenance, consent, correction, and review.
Backed by npm run contributor:task-library:check, npm run contributor:first-task:check, and npm run data:quality:check.

See sample report