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LLM Training DataFoundation model data at scale

Instruction sets, preference pairs and benchmarks.

Overview

What is LLM training data?

Training frontier language models takes carefully curated, diverse datasets: instruction-response pairs, domain corpora, preference data and evaluation benchmarks built to your data mix.

Model performance is increasingly a data problem, not a compute problem. Teams that win on quality, diversity and domain coverage build the models that ship.

Instruction data

Diverse instruction-response pairs across 12+ expert domains.

Preference pairs

Ranked response pairs for DPO and RLHF-style fine-tuning.

Eval benchmarks

Custom evaluation sets aligned to your target capabilities.

Bias & safety screening

Multi-pass review for factuality, bias and toxicity.

Workflow

How we do it

  1. 01
    Data strategy

    Define data mix, domain coverage, instruction types and quality criteria with your goals.

  2. 02
    Expert writing

    Domain experts across 12+ disciplines craft diverse, accurate instruction-response pairs.

  3. 03
    Quality review

    Senior reviewers validate factual accuracy, instruction clarity and response quality.

  4. 04
    Bias review

    Specialized reviewers screen for demographic, political and factual bias across the dataset.

  5. 05
    Delivery

    Final datasets in JSONL, with data cards, documentation and quality metrics.

Case study

Frontier AI lab

Create 500K instruction pairs for frontier LLM fine-tuning

Expert writer network across 12 domains, with multi-tier quality review.

500KInstruction pairs
12Domains covered
97%Quality pass rate

Ready to get startedwith LLM training data?

Tell us about your project and we will scope a pilot within 48 hours.

Schedule a demo Contact us