Industries · Research
Research-grade data for language and LLMs
The first Universal Dependencies dataset for Sindhi and a study of NER on Global Englishes — with expert annotators sourced and tested for each project, and a Data ID Card for every dataset.
The problem
What makes research data hard
No existing talent pool
Low-resource and proprietary languages have few annotators, so they must be found and tested.
Publishable quality
Research data needs documented provenance, agreement scores, and consistent guidelines.
Ranking, not just labeling
LLM training needs prompt-output pairs and ranked candidates, not single labels.
How MLtwist helps
One pipeline, built for this data
Our platform prepares and routes the data; our team, yours, or both label it. Every version ships with a Data ID Card.
- Sourcing and testing experts
- Linguists and coders are recruited and skill-tested before they touch data.
- Prompt and ranking data
- Prompts written to match outputs, and candidate outputs ranked by correctness.
- Multi-level QA
- Multi-stage review and inter-annotator agreement scoring on every pair.
- A Data ID Card per dataset
- Sources, annotators, and rights recorded for every file.
Case studies
Research programs we've delivered
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Bring us your research data
Tell us the data type, volume, and timeline. We'll scope it with our team, yours, or both — and deliver it versioned, in your format.
Also available through Carahsoft and Google Cloud Marketplace.