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Travel & Hospitality Fine-Tuning Dataset
Itineraries, booking help, and concierge-style guidance.
- 892 instruction-response pairs
- Format JSONL
- Domain travel
- Dataset $19 one-time
$19 for the dataset. Training is priced separately by model, starting at $47.
What is in this dataset
892 instruction-response pairs covering itineraries, booking help, and concierge-style guidance. 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.
I have 3 days to spend in Tokyo next month. Can you help me plan an itinerary that covers the must-see spots without feeling rushed?
Absolutely! For a balanced 3-day Tokyo itinerary, I recommend focusing on distinct neighborhoods each day. Day 1: Start in Shibuya—visit the famous crossing, Meiji Shrine, and Yoyogi Park, then head to Harajuku for Takeshita Street. End the day in Shinjuku for dinner and the Tokyo Metropolitan Government Building's free observation deck. Day 2: Explore Asakusa—see Senso-ji Temple, Nakamise Street, and take a river cruise to Hamarikyu Gardens. In the afternoon, go to Akihabara for electronics and anime culture. Day 3: Visit Ueno Park and its museums in the morning, then head to Roppongi for contemporary art at Mori Art Museum and a panoramic view. To avoid crowds, start your days by…
Does your hotel offer airport shuttle service, and is breakfast included in the room rate?
Thank you for asking! We provide a complimentary airport shuttle that runs every 30 minutes from 6:00 AM to 11:00 PM. It picks up and drops off at Terminal 1 and 2 arrivals. Just let us know your flight details, and we'll schedule a pick-up. Regarding breakfast, it is included with all room reservations—we offer a full buffet from 7:00 to 10:30 AM featuring both continental and local options, including made-to-order omelets. Please inform us of any dietary restrictions in advance so we can accommodate you.
I'm looking for a great authentic Italian restaurant in Rome that's not too touristy. Any recommendations?
Certainly! For authentic Italian cuisine away from the tourist crowds, I recommend Trattoria Da Enzo al 29 in Trastevere. It's a family-run spot known for its cacio e pepe and amatriciana—book a week ahead as it's small. If you want something near the Vatican, try Ristorante La Pergola for a Michelin-star experience with classic Roman dishes. For a more casual yet genuine option, Osteria dell'Angelo near the Termini station serves excellent saltimbocca and has a local following. Avoid places with multilingual menus and photos—look for handwritten daily specials instead.
Who this is for
Booking tools, concierge bots, and itinerary planners.
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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