TEXT
COMMERCIAL
RAW
The screenshot sets show what a scam looks like; this one gives you the string. Contributors copy scam messages from SMS, WhatsApp, Telegram and other chat apps exactly as sent, sender line included, and remove their own details; paraphrased text and legitimate messages are refused. The task runs only in 11 Southeast Asian countries, where scams reference local e-wallets and banks in Tagalog, Taglish, Bahasa Indonesia and Malay, with 100 messages per contributor at most. One message per record, plain text, no channel or lure labels; the smishing and impersonation screenshot sets come from the same population, so text and image views of one scam ecosystem can be bought together.
Volume
25,000+
Messages
Contributors
5,000+
Regions
Southeast Asia (11 countries)
Updated
What’s in the collection and how it’s delivered.
Data modality
Text
Annotated
Raw (no labels)
Exclusivity
Non-exclusive rights
Capture tool
Typed in the Kled app
Use cases
Scam and phishing text classification, social-engineering pattern analysis, multilingual spam filtering
Format
Plain text
Resolution
Plain text, UTF-8
Total volume
25,000+ messages (approx. 125 MB)
Regions
Southeast Asia (11 countries)
Purity level
99%+ passed QA review
Where this data comes from and how it’s licensed.
Every file comes straight from the contributor who provided it and is rights-cleared before it’s listed, so your license traces back to the source.
Contributor
Provides the data and uploads it straight to Kled.
Kled
Clears the rights before anything is listed.
Your team
Licenses it under the terms below.
License terms
Non-exclusive commercial training license.
Consent
Each contributor opted in to this use when they uploaded.
Specs reflect the current collection and may change as new data is added. Final terms are set in your license agreement.
