I will create a custom aaa quality dataset for your ai llm fine tuning
I craft AAA grade datasets that make your AI models actually work
About this Gig
CUSTOM AI TRAINING DATASETS Built for Fine-Tuning, Not Just Volume
Tired of low-quality scraped data that makes your model hallucinate? I engineer precision datasets from YOUR domain documents designed specifically for LLM fine-tuning.
️WHAT YOU GET
- Custom Instruct Q&A pairs built from YOUR sources, not scraped
- 7 question types: factual, scenario, reasoning, negative examples, edge cases, role-play, calculation
- Natural domain-specific language (legal, medical, financial register)
- Full source traceability every Q&A linked to its origin
- Any format: Alpaca JSON, ChatML, ShareGPT, JSONL, CSV, Parquet
WHY MY DATASETS ARE DIFFERENT
Most sellers dump 10,000 noisy scraped rows into a CSV. That's garbage in, garbage out.
My process:
- I read your source documents in full
- I chunk them with semantic segmentation
- I generate diverse, multi-type Q&A pairs with natural paraphrasing
- I verify uniform coverage no blind spots
- I deliver with a quality report (Standard & Premium)
Industries: Legal, Medical, Finance, Tech Docs, E-commerce
Languages: French & English
I create the DATASET only. I do NOT train or deploy models.
Message me BEFORE ordering to discuss your project scope.
Programming language:
Python
Frameworks:
Scikit-learn
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PyTorch
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Panda
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Other
APIs:
Other
Tools:
Jupyter Notebook
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Excel
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Colab
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Other
FAQ
What output formats do you support?
JSON (Alpaca), JSON (ChatML/Llama-3), ShareGPT, JSONL (HuggingFace-ready), CSV, and Parquet. If you need a custom format, just let me know.
What source documents do you accept ?
PDF, TXT, DOCX, Markdown, and HTML. Documents must be text-based — no scanned images. If your PDF is image-only, please OCR it first or ask me for recommendations.
Is the dataset compatible with my model ?
Yes. My datasets are model-agnostic and work with Llama, Mistral, GPT, Gemma, Phi, and any open-weight model. Compatible with Unsloth, Axolotl, HuggingFace TRL, LlamaFactory, and OpenAI fine-tuning API.
Do you train or fine-tune the model ?
No. I create the dataset only. You receive a structured, ready-to-train file. You (or your ML engineer) handle the training and deployment.
What languages do you support?
French and English. I can also create bilingual datasets (same Q&A pairs in both languages) for multilingual model training.
How many Q&A pairs can you generate from my document ?
Approximately 40-50 high-quality pairs per 3-4 pages of dense content. A 30-page document typically yields 400-600 pairs. Exact count depends on content density.
What makes your datasets better than cheap scraped data ?
My datasets are generated from YOUR documents, not scraped from the internet. They include 7 question types, natural paraphrasing, full source traceability, and verified uniform coverage no blind spots, no noise.
Can you handle confidential documents ?
Yes. All documents are treated as strictly confidential and deleted after delivery. I can sign an NDA before starting if required.
Can I see a sample before ordering ?
Yes! Message me and I'll send a free sample of 10-15 Q&A pairs from a public document in your domain so you can evaluate the quality.
Do I need to provide the source documents ?
Yes. You provide the documents containing the knowledge you want your model to learn. I transform them into structured training data. See my requirements for accepted formats.
