Text datasets
Chat logs, prompt and response pairs, and parallel corpora by domain.
What we hold in text
Off-the-shelf sets listed below. Anything not on the list can be collected to your spec, usually inside four weeks.
- Agent and customer chat by industry
- Prompt and response pairs
- Chain-of-thought reasoning
- Summarisation and extraction
- Parallel corpora by domain
- Classification and intent sets
- Cyberbullying and safety sets
- Rewrite and style transfer
8 text datasets available
8 of 8 datasets
- TextCustomer support
Agent and customer chat
Support chat across industries with intent, entity and resolution labels.
20 languages
Details - TextBanking & finance
BFSI agent and customer chat
Banking support chat covering disputes, onboarding, cards and collections.
12 languages
Details - TextRetail & e-commerce
Retail agent and customer chat
Order, returns, delivery and product enquiry conversations.
16 languages
Details - TextTelecom
Telecom agent and customer chat
Recharge, network complaint, billing and porting conversations.
14 languages
Details - TextReal estate
Real estate enquiry chat
Property enquiry, viewing and negotiation conversations with attribute extraction.
9 languages
Details - TextLLM alignment
Prompt and response pairs
Instruction, reasoning, creative and safety prompts with rubric-scored responses.
18 languages
Details - TextLLM alignment
Preference ranking pairs
Pairwise preferences with a written reason on every comparison.
8 Indian languages
Details - TextMachine translation
Parallel corpora by domain
Human-translated parallel text across legal, medical, financial and tourism domains.
40 language pairs
Details
Other dataset types
Speech datasets
Conversational, scripted, wake-word and call-centre audio with verified transcripts.
Learn moreImage datasets
Facial, OCR, retail and document imagery annotated to your schema.
Learn moreVideo datasets
Driver monitoring, gesture, 360 vehicle and visual question answering footage.
Learn moreMultimodal datasets
Paired audio, image, video and text built for models that read more than one signal.
Learn moreNeed text data we do not already hold?
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