datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scam-ads-detection-datasetphone-scam-detection-syntheticGenerated using Llama 8B model
Contains 1800 synthetic dialogues
Varied conversation lengths (short/medium/long)
Different fraud subtlety levels
Balanced labels (legitimate vs fraudulent)
3 fraud types covered (support, ssn, refund)
ham-spam-scam-toxic-parquetTech-Job-Scams-and-Predatory-Recruitment
Tech Job Scams & Predatory Recruitment Tactics
Dataset Description
An adversarial dataset containing 1,000 distinct communication strings, job descriptions, and direct messaging scripts modeling deceptive recruitment loops targeting remote software engineering, AI/ML, and data science talent.
Purpose and Impact
With the rapid scale of remote work, software developers have become primary targets for sophisticated hiring scams. These range from… See the full description on the dataset page: https://huggingface.co/datasets/sohaibdevv/Tech-Job-Scams-and-Predatory-Recruitment.scam-detection-logsscam-dialogue-thai-translated
Dataset Card for scam-dialogue-thai-translated
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/thirdExec/scam-dialogue-thai-translated/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/thirdExec/scam-dialogue-thai-translated.docdet-scamai-crops
tzj04/docdet-scamai-crops
Training crops derived from the Scam-AI document-forgery datasets, for the
DocDet authentic-vs-AI-generated detector.
This is a derivative work. It is not an official Scam-AI release.
What a row is
Each forgery in the source data patches a single field into an otherwise
authentic scan - roughly 0.3% of the page. At a 224px whole-page input that
edit survives as a handful of pixels, and a random-resized crop can miss it
altogether. So… See the full description on the dataset page: https://huggingface.co/datasets/tzj04/docdet-scamai-crops.scam_datasetafrica-online-scams-advance-fee
Online Scams & Advance Fee Fraud (Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-online-scams-advance-fee.scam_finetunedaugmented-train-scam-dialoguereal-life-scam-reachoutscam-alert-datasetscam-detection-feedbackjob-scam-mediumScam_Message_9_Language
Multilingual Scam Spam/Ham Dataset
This dataset contains multilingual text samples labeled for binary spam/scam detection.
Each example is either ham or spam.
Dataset Details
Task: binary text classification
Rows: 12,800
Format: Parquet
Split: train
Labels:
0: ham
1: spam
Languages: English, Chinese, German, French, Hindi, Khmer, Russian, Thai, Vietnamese
Columns
Column
Type
Description
text
string
Message text
label
int64… See the full description on the dataset page: https://huggingface.co/datasets/vichetkao/Scam_Message_9_Language.bankless_DEBRIEF_Is_Crypto_a_Scamaugmented-scam-dialoguehumanoid-scammer-dataindian-scam-detectionbuzz_sources_422_scamlanti-scam-image-datasetscam-callScamRisk-VN