datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Cifer-Fraud-Detection-Dataset-AF
📊 Cifer Fraud Detection Dataset
🧠 Overview
The Cifer-Fraud-Detection-Dataset-AF is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
This dataset draws structural inspiration from the PaySim simulator, which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries.… See the full description on the dataset page: https://huggingface.co/datasets/CiferAI/Cifer-Fraud-Detection-Dataset-AF.Creditcard-fraud-detection
Credit Card Fraud Detection
This dataset was downloaded from https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud/data adn uploaded for educational purposes.
Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset
Nigerian Financial Transactions and Fraud Detection Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 1M<n<10M - Formats: csv - Sector: economics_finance - 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 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.chinese-american-elder-fraud-qa
chinese-american-elder-fraud-qa
A hand-authored, trilingual (Mandarin / Cantonese / English) fraud-recognition dataset for first-generation Chinese-American elders and the adult children who help them. 235 rows authored, 207 adapted through the Adaption Labs platform with reasoning traces. Grounded in FBI, IC3, and SFPD reports on Chinese-community elder fraud.
Adaption Labs Uncharted Data Challenge submission.
Metric
Value
Rows authored
235
Rows adapted (training… See the full description on the dataset page: https://huggingface.co/datasets/vanila434/chinese-american-elder-fraud-qa.Cifer-Fraud-Detection-Dataset-AF
📊 Cifer Fraud Detection Dataset
🧠 Overview
The Cifer-Fraud-Detection-Dataset-AF is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
This dataset draws structural inspiration from the PaySim simulator, which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries.… See the full description on the dataset page: https://huggingface.co/datasets/nithi060488/Cifer-Fraud-Detection-Dataset-AF.travel-fraud-graphs
TravelFraudBench (TFG)
The first publicly available labeled heterogeneous graph benchmark for GNN-based fraud ring detection in travel networks.
Paper
Dataset Structure
This dataset contains heterogeneous graph data split into 20 named configurations — one per node type and one per edge type — each with small, medium, and large splits.
Loading a specific node or edge table
from datasets import load_dataset
# Load user nodes (medium scale)
users =… See the full description on the dataset page: https://huggingface.co/datasets/bsajja7/travel-fraud-graphs.credit-card-fraud-detection
Credit Card Fraud Detection – Processed Dataset
This dataset contains preprocessed credit card transaction data prepared for fraud detection tasks.
Data Description
The dataset is derived from anonymized transaction records and includes numerical features (V1–V28), transaction amount, and time-based information.
Preprocessing Steps
Feature scaling and normalization
Handling class imbalance
Feature selection based on correlation analysis
Removal of irrelevant… See the full description on the dataset page: https://huggingface.co/datasets/jyunyilin/credit-card-fraud-detection.Cifer-Fraud-Detection-Dataset-AF
📊 Cifer Fraud Detection Dataset
🧠 Overview
The Cifer-Fraud-Detection-Dataset-AF is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
This dataset draws structural inspiration from the PaySim simulator, which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries.… See the full description on the dataset page: https://huggingface.co/datasets/Durgesh111/Cifer-Fraud-Detection-Dataset-AF.fraud-detection-eda
PaySim Financial Fraud Detection — EDA & Dataset Analysis
Presentation Video
Dataset Overview
This project analyzes the PaySim Financial Fraud Detection dataset from Kaggle (source: chitwanmanchanda/fraudulent-transactions-data). The dataset contains simulated mobile money transactions with fraud labels, representing 100,000 randomly sampled transactions (random_state=42) from the original 6,362,620 rows.
Key characteristics:
Total records: 100,000… See the full description on the dataset page: https://huggingface.co/datasets/MichaelGelshtein/fraud-detection-eda.ethereum_fraud_detectioncredit_card_fraud_transactionsafrica-synth-insurance-fraud-detection-all
African Insurance Fraud Detection | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: csv - Sector: culture_language - 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 Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-insurance-fraud-detection-all.synthetic-fraud-detectionMachine-Learning-Credit-Card-Fraud-Detection-Projectbank-transaction-fraudcreditcard-fraud-datasetFinancial-Fraud-Dataset
Dataset Card for Financial Fraud Labeled Dataset
Dataset Details
This dataset collects financial filings from various companies submitted to the U.S. Securities and Exchange Commission (SEC). The dataset consists of 85 companies involved in fraudulent cases and an equal number of companies not involved in fraudulent activities. The Fillings column includes information such as the company's MD&A, and financial statement over the years the company stated on the SEC… See the full description on the dataset page: https://huggingface.co/datasets/amitkedia/Financial-Fraud-Dataset.1M-Fraud-Labeled-Synthetic-Bank-Transactions
license: other
tags:
- tabular
- finance
- fraud-detection
- synthetic-data
- banking
1M Synthetic Fraud-Labeled Bank Transactions – Production-Ready Dataset
Full Dataset → 📥Download the Complete 1M Labeled Dataset Here
High-fidelity synthetic dataset simulating real-world banking transactions with realistic fraud patterns. Designed specifically for building robust, production-grade fraud detection models without any privacy or regulatory risks.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Abdulmajeedyahya/1M-Fraud-Labeled-Synthetic-Bank-Transactions.Insurance-Chatbot-Homeowner-Fraud-Harmful
Dataset Card for Homeowner Fraud Harmful
Description
The test set provided is designed for evaluating the performance and robustness of an Insurance Chatbot specifically tailored for the insurance industry. It focuses on detecting harmful behaviors, with a specific focus on topics related to homeowner fraud. The purpose of this test set is to thoroughly assess the chatbot's ability to accurately identify and handle fraudulent activities within the context of homeowner… See the full description on the dataset page: https://huggingface.co/datasets/rhesis/Insurance-Chatbot-Homeowner-Fraud-Harmful.trilingual_fraud_consumer_protection_v2
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
Punjab Fraud Intent Benchmark (Trilingual – Punjabi/Hindi/English)
Core Thesis
Most fraud datasets focus on obvious scams.
But in real-world communication, the harder problem is different:
messages that look almost identical but have completely different intent
This dataset focuses on that missing middle:
intent boundaries in Punjabi–Hindi–English… See the full description on the dataset page: https://huggingface.co/datasets/karanverma19/trilingual_fraud_consumer_protection_v2.Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset
Nigerian Financial Transactions and Fraud Detection Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 1M<n<10M - Formats: csv - Sector: economics_finance - 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 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/AttyAbson/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.fraudlensNigerian_telecom_fraud
Your browser does not support the video tag.
🇳🇬 Nigerian Telecom Fraud Analysis
Overview
This project presents an end-to-end Exploratory Data Analysis (EDA) of telecom-related fraud incidents in Nigeria. The goal is to uncover patterns, quantify financial impact, and provide actionable recommendations to mitigate fraud.
The analysis is based on a dataset containing ~50,000 fraud records, including fraud type, timestamps, operators, and financial impact.… See the full description on the dataset page: https://huggingface.co/datasets/kagikush/Nigerian_telecom_fraud.1M-Fraud-Labeled-Synthetic-Bank-Transactions
license: other
tags:
- tabular
- finance
- fraud-detection
- synthetic-data
- banking
1M Synthetic Fraud-Labeled Bank Transactions – Production-Ready Dataset
Full Dataset → 📥Download the Complete 1M Labeled Dataset Here
High-fidelity synthetic dataset simulating real-world banking transactions with realistic fraud patterns. Designed specifically for building robust, production-grade fraud detection models without any privacy or regulatory risks.… See the full description on the dataset page: https://huggingface.co/datasets/Prabhu675675654578/1M-Fraud-Labeled-Synthetic-Bank-Transactions.Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset
Nigerian Financial Transactions and Fraud Detection Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 1M<n<10M - Formats: csv - Sector: economics_finance - 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 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/saraanjum8630/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.Cifer-Fraud-Detection-Dataset-AF
📊 Cifer Fraud Detection Dataset
🧠 Overview
The Cifer-Fraud-Detection-Dataset-AF is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
This dataset draws structural inspiration from the PaySim simulator, which was built using aggregated mobile money transaction data from a real financial provider operating in 14+… See the full description on the dataset page: https://huggingface.co/datasets/pri092005/Cifer-Fraud-Detection-Dataset-AF.insurance-fraud-datasetInsurance-Chatbot-Auto-Insurance-Fraud-Harmful
Dataset Card for Auto Insurance Fraud Harmful
Description
The test set is designed for an Insurance Chatbot in the insurance industry, with a focus on assessing the bot's robustness. The objective is to evaluate the bot's performance when exposed to harmful scenarios related to auto insurance fraud. The test set aims to simulate realistic situations where the bot may encounter fraudulent claims or deceptive practices in the auto insurance domain. By incorporating these… See the full description on the dataset page: https://huggingface.co/datasets/rhesis/Insurance-Chatbot-Auto-Insurance-Fraud-Harmful.credit-card-fraud-CLEAN📦 Dataset Card: credit-card-fraud-CLEAN
Original Dataset: "https://huggingface.co/datasets/dazzle-nu/CIS435-CreditCardFraudDetection"
New Features
category (float): The category of the transaction. Mapping:{
'entertainment': 0.0,
'food_dining': 1.0,
'gas_transport': 2.0,
'grocery_net': 3.0,
'grocery_pos': 4.0,
'health_fitness': 5.0,
'home': 6.0,
'kids_pets': 7.0,
'misc_net': 8.0,
'misc_pos': 9.0,
'personal_care': 10.0,
'shopping_net': 11.0… See the full description on the dataset page: https://huggingface.co/datasets/MaxPrestige/credit-card-fraud-CLEAN.tri-fraud-alerts-india⚠️ This dataset has been updated.Latest version: https://huggingface.co/datasets/karanverma19/trilingual_fraud_consumer_protection_v2
Trilingual (Punjabi–Hindi–English) Fraud & Consumer Protection Dataset
Why I built this
Fraud detection in regions like Punjab is not straightforward.Messages are rarely in clean English and are often written in Punjabi, Hindi, or a mix of both. On top of that, many scam messages look very similar to legitimate communication.
While working… See the full description on the dataset page: https://huggingface.co/datasets/karanverma19/tri-fraud-alerts-india.