metadata
license: mit
language:
- en
tags:
- nlp
- text-classification
- scam-detection
- crypto
- pidgin
- low-resource-languages
- africa
pretty_name: pidginshield
size_categories:
- n<1K
pidginshield: pidgin crypto scam detection dataset
overview
this dataset is designed to detect crypto scams in nigerian pidgin, english, and mixed-language communication.
it captures realistic scam patterns commonly found in west african crypto communities, where informal language and slang are widely used.
dataset structure
each entry contains:
- text
- language_type
- label (scam or legit)
- scam_category
- intent
- explanation
use cases
- training scam detection models
- improving ai safety in fintech and web3
- moderation tools for crypto communities
attribution
this dataset, pidginshield, was created for the uncharted data challenge by adaption labs.
it leverages adaptive data, adaption’s data infrastructure for building and evolving datasets.