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Text data and language annotation
We build written datasets for language work: collection, cleaning, labelling and instruction writing. Teams use this for search quality, policy review, customer support workflows and evaluation sets.
What we handle
- Named entity, intent and relation labelling
- Instruction sets, response review and comparison tasks
- Sentiment, toxicity and policy safety tagging
- Regional language and mixed script collection
What you receive
- Cleaned and de-duplicated text with source notes
- JSONL label files ready for your workflow
- Separate test sample
- Reviewer agreement scores per label
Typical use
- Domain specific support and legal text preparation
- Search relevance sets
- Content moderation review sets
- Customer support answer review sets
Questions about this service
- Do you write instruction and comparison data?
- Yes. Trained writers produce sample instructions, responses and ranked comparisons against your policy document, with a second reviewer checking every item before delivery.
- Which languages do you cover for text work?
- English plus Hindi, Marathi, Bengali, Tamil, Telugu, Kannada, Gujarati, Punjabi, Malayalam, Urdu and several others, including mixed script writing common in Indian messaging.