Prompts and responses
Human-written prompts, responses and dialogues for instruction and fine-tuning datasets.
LLM Fine-Tuning Data
Human-written data for fine-tuning large language models
Instruction-tuned models learn from examples written and judged by people. One6 provides human-written prompts, responses and dialogues, expert review of model answers and rating against your rubric, so your fine-tuning data reflects the behavior you want.
What One6 provides
Domain content
Human-written domain documents, with specialists staffed for technical material in fields such as engineering, mathematics, medicine, law and finance.
Rating against your rubric
Structured scoring of model responses against criteria you define, with reviewer calibration before scaling.
Expert review
Specialists check model answers in their field for correctness, reasoning quality and risk.
Services involved
- AI Training Data CollectionVoice, text, image, video and custom datasets collected from real people to your specification.
- Human Evaluation for AI ModelsDomain experts and trained generalists rate, test and review model output.
- Data Annotation & LabelingImage, video, text and audio labeling with written guidelines and layered quality review.
How a pilot runs
- 01
Define
Agree the behaviors you want to teach, the data format, the contributor profile and the acceptance criteria.
- 02
Calibrate
Writers and reviewers work through shared examples against your guidelines and rubric.
- 03
Pilot
A small first batch you review, with quality results, before committing to volume.
- 04
Scale
Delivery in regular batches with ongoing QA once the pilot meets the agreed bar.
Frequently asked questions
Can domain experts work on the data?
Yes. We source specialists in fields including engineering, mathematics, medicine, law, research, finance, statistics and physics, and confirm the reviewer profile during scoping.
How do you keep ratings consistent?
Reviewers are calibrated on shared examples against your rubric before production work, and agreement is monitored throughout the project.
Who owns the data?
Data ownership and usage rights are defined in the project agreement before work begins. Projects can run under NDA.
Related solutions
Have a data project in mind?
Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.