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Health & Wellness Fine-Tuning Dataset

Health, wellness, holistic medicine, self-care

Fine-tune a model on this dataset

$19 for the dataset. Training is priced separately by model, starting at $47.

What is in this dataset

825 instruction-response pairs covering health, wellness, holistic medicine, self-care. Each pair is a realistic question with a full written answer, in the JSONL format used for supervised fine-tuning. No synthetic filler, no duplicated rows.

Example pairs

Real rows from the dataset, shown in full.

What are some natural ways to reduce stress and anxiety at home?

Disclaimer: This is not professional medical advice. For persistent anxiety, consult a healthcare provider. Natural stress-reduction techniques include: 1) Deep breathing exercises (e.g., box breathing: inhale 4 sec, hold 4, exhale 4, hold 4). 2) Progressive muscle relaxation—tense and release muscle groups. 3) Aromatherapy with lavender or chamomile essential oils. 4) Regular physical activity like walking or yoga. 5) Limiting caffeine and screen time before bed. 6) Journaling to express emotions. These practices can support relaxation but are not substitutes for clinical treatment.

Can you suggest a balanced meal plan for someone trying to eat healthier without cutting out all carbs?

Disclaimer: This is not professional medical advice. Consult a dietitian for personalized plans. A balanced approach includes complex carbs like whole grains, legumes, and vegetables. Sample day: Breakfast: oatmeal with berries and nuts. Lunch: quinoa bowl with grilled chicken, mixed greens, and avocado. Dinner: salmon with sweet potato and steamed broccoli. Snacks: apple with almond butter or Greek yogurt. Focus on fiber-rich carbs, lean protein, healthy fats, and portion control. Avoid highly processed carbs but enjoy whole food sources in moderation.

How much water should I drink daily for optimal hydration?

Disclaimer: This is not professional medical advice. Individual needs vary. General guidelines suggest about 3.7 liters (125 oz) for men and 2.7 liters (91 oz) for women daily, including water from foods and beverages. Factors like activity level, climate, and health conditions affect needs. A simple rule: drink when thirsty, and aim for pale yellow urine. Avoid overhydration—listen to your body. For athletes or those with medical conditions, consult a healthcare provider.

Who this is for

General wellness products. Every response carries a not-medical-advice disclaimer.

Which models this works with

The dataset is plain JSONL, so it works with any instruction-tuned open model. On Rebiha you can train it directly on:

Training uses LoRA, or QLoRA on a 4-bit base for larger models. Your base model's weights are never modified — training produces a separate adapter.

How it works

  1. Pick this dataset and a base model.
  2. Rebiha runs the job on a managed GPU. You set up nothing.
  3. Download your model: a ready-to-run GGUF, plus developer assets (adapter, tokenizer, configs).

Fine-tuning or RAG?

Use RAG when the model needs facts that change — your prices, your documents, today's inventory. Use fine-tuning when you want consistent style and structure without prompting for it every time. This dataset teaches the shape of a good answer in this domain, not facts to look up.

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