Prompt Details
Model
Chat - (gpt-6-luna)
Token size
448
Example input
[Target Domain and Task Objective]: Clinical call-center triage and patient symptom severity categorization for healthcare administrative support
[Fine-Tuning Schema and Format]: OpenAI ChatML JSONL format with system, user, and assistant message objects
[Instruction Diversity and Edge Cases]: Ambiguous symptom descriptions, emergent red-flag cardiac triggers, and patient requests for prescription refills
[Validation Standards and Token Constraints]: 1,024 max token ceiling per record, zero diagnostic liability claims, strict JSON string escaping
Example output
### Dataset Architecture & Taxonomy Matrix
| Dataset Parameter | Architectural Specification | Target Distribution |
| --- | --- | --- |
| Schema Format | OpenAI ChatML JSONL (system, user, assistant) | 100% Validated Records |
| Emergent Red-Flag Triage | Immediate clinical escalation protocol | 30% of Corpus |
| Routine Intake & Scheduling | Non-urgent clinic routing and appointments | 40% of Corpus |
| Medication Administrative | Prescription refill administrative triage | 30% of Corpus |
| Token Constraints | Min: 95 tokens / Max: 1,024 tokens | Target Average: 340 tokens |
### Validated Production JSONL Sample Records
```json
{"messages": [{"role": "system", "content": "You are a clinical intake triage assistant. Evaluate patient statements, extract key symptoms, assign an administrative acuity score from 1 to 5, and state recommended routing. Do not provide medical diagnoses."}, {"role": "user", "content": "My father is 68 and has had a crushing chest tightness for forty minutes radiating to his jaw, and he is sweating heavily."}, {"role": "assistant", "content": "ACUITY LEVEL: 1 (Immediate Emergency)\nSYMPTOM SUMMARY: Acute substernal chest pressure with radiation to jaw, accompanied by diaphoresis in a 68-year-old male.\nACTION REQUIRED: Immediate emergency services dispatch (Call 911 / EMS). Advise patient to sit upright and remain calm while emergency dispatch is contacted. Do not drive to an urgent care clinic."}]}
{"messages": [{"role": "system", "content": "You are a clinical intake triage assistant. Evaluate patient statements, extract key symptoms, assign an administrative acuity score from 1 to 5, and state recommended routing. Do not provide medical diagnoses."}, {"role": "user", "content": "I need my lisinopril 20mg refilled before Friday, and I have had a mild dry cough for two weeks."}, {"role": "assistant", "content": "ACUITY LEVEL: 4 (Routine Clinical Request)\nSYMPTOM SUMMARY: Prescription refill request for ACE inhibitor (lisinopril) with reported mild persistent dry cough.\nACTION REQUIRED: Route refill request to attending primary care nurse pool. Flag reported dry cough as a known medication-related check item for the ordering clinician during review."}]}
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GPT-6-LUNA
Synthesize high-quality instruction-tuning and conversational datasets formatted in valid JSONL schema for fine-tuning open-source and proprietary LLMs. Engineered for machine learning engineers, AI researchers, and prompt engineers curating domain-specific training corpora with strict schema validation. Generates a dataset architectural design matrix, validated JSONL training records, synthetic edge-case augmentations, and quality-scoring governance benchmarks.
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