Legal DIY Fine-Tuning Dataset
Legal information, contracts, DIY legal
- 821 instruction-response pairs
- Format JSONL
- Domain legal
- Dataset $29 one-time
$29 for the dataset. Training is priced separately by model, starting at $47.
What is in this dataset
821 instruction-response pairs covering legal information, contracts, diy legal. 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 key elements that make a contract legally valid? I'm drafting a simple agreement to sell my used car to a neighbor.
A valid contract generally requires five key elements: offer, acceptance, consideration, mutual assent (meeting of the minds), and capacity. For your car sale, an offer is your price and terms, acceptance is your neighbor agreeing, consideration is the exchange of money for the car, mutual assent means both understand and agree to the same terms, and capacity means both of you are of legal age and sound mind. Also, for a car sale, many states require it to be in writing if the value is over $500 (Statute of Frauds). Your written agreement should include the car's VIN, sale price, date, and signatures. **Disclaimer:** This is general legal information, not legal advice. Laws vary by…
I'm about to sign a lease for an apartment. What are the most important clauses I should understand before signing?
Focus on these key clauses: (1) Rent amount, due date, late fees, and acceptable payment methods. (2) Lease term (fixed or month-to-month) and renewal/termination notice requirements. (3) Security deposit amount, conditions for deductions, and return timeline (state laws often dictate this). (4) Maintenance responsibilities: who handles repairs, especially for major systems like HVAC or plumbing, and the process for reporting issues. (5) Occupancy limits: who can live there and guest policies. (6) Subletting and assignment rules. (7) Pet policy, if applicable. (8) Early termination penalties or break-lease fees. Read the entire lease carefully, and if anything is unclear or seems unfair…
My landlord is refusing to fix a broken heater, and it's winter. What are my tenant rights in this situation?
In most states, landlords have an implied warranty of habitability, which requires them to maintain essential services like heat, water, and electricity. If your heater is broken and it's winter, this likely violates that warranty. Your rights may include: (1) Withholding rent (only in some states, and usually after written notice and a reasonable time to fix it). (2) Repair and deduct: pay for the repair yourself and deduct it from rent, but check your lease and state law for limits. (3) Breaking the lease without penalty if the issue makes the unit uninhabitable. (4) Filing a complaint with your local housing authority or code enforcement. Document everything: written requests to the…
Who this is for
Legal-information products. Every response carries a not-legal-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:
- 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.
Related datasets
- SHTF: Emergency Preparedness & Survival — 878 pairs
- Business & Finance — 956 pairs
- E-commerce & Product Descriptions — 948 pairs
- Customer Support & Sales — 900 pairs