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I will create custom synthetic datasets for ai and llms
About this Gig
About This Gig
High-quality, specialized data is the ultimate bottleneck for AI performance. Generic internet scrapes don't cut it anymore. I will generate clean, structured, and highly targeted synthetic datasets tailored specifically for training or fine-tuning your AI models.
Everything is processed using custom local generation pipelines. This approach guarantees complete data privacy; your proprietary schemas, prompt layouts, and project goals never leak to external cloud APIs.
What I Can Deliver:
- Question-Answering pairs and instruction-following datasets.
- Multi-turn conversational data (ShareGPT or Alpaca formats).
- Domain-specific datasets (Legal, Medical, Technical, Financial, or Customer Support).
- Structured formats optimized for immediate training: JSON, JSONL, or CSV.
Why Choose This Gig?
- Strict Formatting: Zero broken JSON tags or missing fields. Every single row is verified against your required schema.
- High Diversity: Programmatic variation ensures the model learns core concepts instead of just memorizing repetitive phrases.
- Data Privacy: Your project parameters remain 100% confidential.
Frameworks:
PyTorch
•
Panda
Data type:
Text
Programming language:
Python
•
SQL
Tools:
Jupyter Notebook
•
TensorFlow
•
Colab
APIs:
OpenAI
My Portfolio
FAQ
Do you guarantee data privacy?
Yes, absolutely. All data generation and model fine-tuning are executed locally on my dedicated 16GB VRAM hardware. Your proprietary data never touches public cloud APIs.
What formats do you deliver the dataset in?
I deliver the final data in your preferred format—typically JSON, CSV, or JSONL—structured exactly for Instruction/Input/Output training.
Can you actually fine-tune the model for me?
Yes! If you select one of my Fine-Tuning Gig Extras, I will train an open-weights model (like LLaMA 3 or Mistral) on your new dataset using LoRA/QLoRA and deliver the updated model weights to you.
