INDUSTRY FIELD GUIDE
Language school speaking prompt and response data for AI
A spoken response can be clear but answer a different prompt than the one recorded in the rubric.
NAICS 611630 · Language Schools
A spoken response can be clear but answer a different prompt than the one recorded in the rubric. ACTFL publishes language performance descriptors. A school can use original prompts and scripted adult responses to test prompt matching and feedback attribution. ACTFL performance descriptors
Write two brief practice prompts and two approved responses. Give one an audio and transcript pair with a mismatched label. Ask what can be verified, which response belongs to each prompt and what needs a reviewer. Use independent criteria and keep pronunciation or proficiency claims specific to the exercise.
Use consenting adult voices or wholly synthetic text. Exclude learner identities, school recordings, actual proficiency ratings and protected curriculum. Clear audio, transcript and model-use rights separately.
Describe an original language practice sample
Original Fiund exercise
A clear transcript can still belong to the wrong speaking prompt
Two original prompts and scripted text responses test content association. The packet uses no learner audio, real proficiency rating or licensed curriculum.
| Record | Source | What it records |
|---|---|---|
| LS1 | Original prompt pair | P1 asks for a fictional shop's opening day. P2 asks for its closing time. |
| LS2 | Response artifact A | Script says The shop opens on Monday. Container label says P2; transcript and scripted source agree on the words. |
| LS3 | Response artifact B | Script says It closes at six. Container label P1. No pronunciation recording or authorized proficiency score supplied. |
Question for the model
Which prompt does each response address by content, and which claims cannot be established from these text artifacts?
Show the reference answer and checks
LS1 and the scripted words in LS2 associate A with P1's opening-day question despite its P2 container label. LS3's closing-time response addresses P2 despite its P1 label. Flag both label mismatches for review rather than declaring the responses irrelevant from metadata alone. Text supports content matching here, but it supplies no evidence about pronunciation, audio quality or an individual's language proficiency.
- Following swapped container labels while ignoring the explicit prompt-response content.
- Assigning a pronunciation or proficiency rating from text alone.
Fields to preserve
- Prompt ID and exact question
- Defines the content being answered.
- Response words and source
- Makes the proposed content association inspectable.
- Container label conflict
- Preserves the metadata error for correction.
- Available modality
- Limits conclusions to text evidence.
Test another case
Change the fictional shop to opening at six and closing on Monday. Test whether the model follows the revised prompts rather than memorizing day-versus-time associations from this example.
Use original text or separately consented adult recordings with explicit audio, transcript and model-use rights. Exclude school recordings, learner identities and actual proficiency assessments.
Discuss a contribution
Describe the sources you control, the task they could support and what has already been checked. Use the existing-data assessment for an archive or the collection brief for a new recording project. The contributor agreement defines Fiund’s licensing authority and compensation. A guide or fictional exercise does not establish an accepted collection or a sale.