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SHTF: Emergency Preparedness & Survival Fine-Tuning Dataset
Disaster preparedness, survival skills, and emergency planning. Covers go-bags (bug-out bags), evacuation, water, food, and more.
- 878 instruction-response pairs
- Format JSONL
- Domain survival
- Dataset $29 one-time
$29 for the dataset. Training is priced separately by model, starting at $47.
What is in this dataset
878 instruction-response pairs covering disaster preparedness, survival skills, and emergency planning. covers go-bags (bug-out bags), evacuation, water, food, and more. 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 the absolute essentials for a 72-hour emergency go-bag, and how should I pack it to be ready to grab and go?
A 72-hour go-bag is your lifeline for the first three days after a disaster. Pack it in a durable, comfortable backpack. Essentials: 1 gallon of water per person per day (3 gallons total), in sealed bottles or pouches. Non-perishable food like energy bars, canned beans, and trail mix (no cooking required). A manual can opener. First-aid kit with bandages, antiseptic, pain relievers, and any prescription meds (rotate out). Flashlight with extra batteries or a hand-crank model. Whistle to signal for help. Dust mask or bandana for air quality. Multi-tool (without blade if restricted). Moist towelettes and garbage bags for sanitation. Emergency blanket and a change of clothes (layered). Copies…
If I have only 10 minutes to evacuate my home during a wildfire, what should I grab beyond my go-bag?
Time is critical. Beyond your pre-packed go-bag, prioritize: 1) Your phone, charger, and portable power bank. 2) Prescription medications and eyeglasses (keep these in a labeled pouch near your go-bag). 3) Important documents in a fireproof bag: passports, birth certificates, deeds, insurance policies, and a USB drive with digital backups. 4) Wallet, keys, and any pet carriers with leashes and pet food. 5) A change of sturdy shoes and a jacket—even in warm weather, conditions change. 6) If you have infants or elderly family, grab diapers, formula, or mobility aids. 7) One sentimental item that fits in a pocket, like a photo. Do not waste time on valuables or furniture. Close windows and…
How much water should I store for a two-week emergency for a family of four, and what containers work best?
Store at least 1 gallon per person per day for drinking and basic sanitation. For a family of four for two weeks, that's 56 gallons total (14 days × 4 people × 1 gallon). Double that if you're in a hot climate or have medical needs. Best containers: Food-grade, BPA-free plastic containers like 5- or 7-gallon water jugs (store in a cool, dark place away from chemicals). For larger storage, use 55-gallon drums with a hand pump—but ensure they're FDA-approved for water. Avoid milk jugs or containers that previously held non-food liquids; they degrade and leach chemicals. Rotate stored water every 6–12 months, or treat with a few drops of unscented liquid chlorine bleach (8 drops…
Who this is for
Preparedness sites and assistants that answer emergency-planning questions.
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:
- Qwen — Qwen3.5 (27B, 9B, 4B), Qwen3, Qwen2.5, Qwen2.5-Coder
- Gemma — Gemma 4, Gemma 3, Gemma 2
- Phi — Phi-4, Phi-3
- DeepSeek — R1 Distill (70B, 32B, 14B)
- Mistral and Llama families
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
- Pick this dataset and a base model.
- Rebiha runs the job on a managed GPU. You set up nothing.
- 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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