Multilingual Dietary Reasoning
Language, food availability, cultural preferences, and local dietary practices as first-class task parameters.
Summary and intended purpose
Scenario families where the correct output depends on locale: available foods, naming conventions, cultural dietary practices, and language. Built on bilingual nutrition workflow experience; coverage for additional languages is scoped per engagement.
Intended purpose
Improve and measure how a model adapts nutrition reasoning to language and cultural context without losing constraint adherence.
Target training or evaluation tasks
- Producing locale-appropriate food substitutions under clinical constraints
- Maintaining constraint adherence across languages
- Respecting stated cultural or religious dietary practices
Clinical scope
- Adult clinical nutrition tasks with locale parameters
- English and Spanish explored in R&D; other languages by engagement
Example record schema
{
"example_id": "mdr-0001-synthetic",
"specialty": "clinical_nutrition",
"task_type": "locale_adapted_substitution",
"language": "es",
"locale": "es-MX",
"scenario": {
"summary": "Tarea de sustitución de alimentos para un adulto con una restricción de sodio y preferencias alimentarias regionales declaradas.",
"stated_constraints": [
"sodium_limit",
"regional_food_preference"
]
},
"candidate_response": {
"substitutions": "<structured_substitutions>",
"constraints_applied": [
"sodium_limit",
"regional_food_preference"
]
},
"automated_checks": {
"schema_valid": true,
"constraints_referenced": true,
"locale_food_refs_ok": true
},
"review_status": "automated_only",
"generation_version": "gen-v3"
}Generation methodology
- 01Locale parameters are part of the scenario specification, not post-hoc translation.
- 02Candidate outputs are checked for constraint adherence independently of language.
- 03Food-reference consistency is screened against locale-specific lists where available.
NoteSynthetic generation does not itself establish factual medical correctness. See the methodology for how generation, automated checks, and expert review are separated.
Validation information
- Reviewer language and cultural familiarity are matched to each locale family.
- Review coverage is agreed per engagement.
| Dimension | Current status |
|---|---|
| Automated checks | Schema validity, constraint adherence, locale food-reference screening |
| Human review coverage | To be specified during dataset scoping |
| Sample size | To be specified during dataset scoping |
| Known limitations | Locale reference data is partial outside English and Spanish |
| Evaluation version | To be specified during dataset scoping |
Known limitations
- Only languages explicitly listed for a delivered dataset are supported; others are not implied.
- Cultural appropriateness checks are specification-driven and require matched reviewers to validate.
Licensing and access process
Licence status: Scoped per engagement. Access is sales-assisted. Licensing is handled by agreement, based on data provenance, rights, permitted uses, delivery, and commercial terms.
- Step 1Specify target languages, locales, and the clinical constraints that must hold across them.
- Step 2Feasibility review including reviewer availability for each locale.
- Step 3Scoped generation and agreed review coverage.
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