Custom Healthcare Reasoning Tasks
Specialty-specific cases scoped to customer needs and qualified domain expertise.
Summary and intended purpose
A custom engagement rather than a fixed dataset. We work from your model's observed failure modes to a data specification, then generate and evaluate against it. Specialties outside clinical nutrition require matched expert partnerships and a feasibility review before any generation begins.
Intended purpose
Give model developers a scoped path to training or evaluation data for a healthcare capability that no existing category covers.
Target training or evaluation tasks
- Defined jointly during discovery
- Typical requests: targeted failure correction, hard negatives, structured outputs, specialty benchmarks
Clinical scope
- Established expertise: clinical nutrition
- Other specialties: subject to expert partnership and feasibility review
Example record schema
{
"example_id": "<engagement_prefix>-0001-synthetic",
"specialty": "<agreed_specialty>",
"task_type": "<agreed_task_type>",
"language": "<agreed_language>",
"scenario": "<specification_driven_scenario>",
"constraints": [
"<constraint_family_a>",
"<constraint_family_b>"
],
"candidate_response": "<structured_response>",
"automated_checks": {
"schema_valid": true,
"constraints_referenced": true
},
"review_status": "<per_engagement>",
"generation_version": "<engagement_version>"
}Generation methodology
- 01Discovery, specification, generation, automated evaluation, human review, and delivery as described on the Custom Data page.
NoteSynthetic generation does not itself establish factual medical correctness. See the methodology for how generation, automated checks, and expert review are separated.
Validation information
- Qualified expert reviewers matched to the specialty; sampling protocol agreed in the specification.
- Human review is scoped and priced per engagement.
| Dimension | Current status |
|---|---|
| Automated checks | To be specified during dataset scoping |
| Human review coverage | To be specified during dataset scoping |
| Sample size | To be specified during dataset scoping |
| Known limitations | To be specified during dataset scoping |
| Evaluation version | To be specified during dataset scoping |
Known limitations
- Comprehensive specialist coverage does not exist today; feasibility is assessed per request.
- Delivery is not guaranteed until a specification and review plan are agreed.
Licensing and access process
Licence status: By agreement. Access is sales-assisted. Licensing is handled by agreement, based on data provenance, rights, permitted uses, delivery, and commercial terms.
- Step 1Discovery conversation about model, specialty, and target behaviour.
- Step 2Written specification and feasibility review.
- Step 3Engagement terms covering generation, review, provenance, and licence.
Request details, discuss a sample, or ask about review coverage for this category.
Request dataset details