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.ieee-fraud-detection-pipeline-features
IEEE-CIS Fraud Detection — Model-Ready Feature Dataset
Dataset Summary
This dataset contains 590,540 financial transactions from the IEEE-CIS Fraud Detection competition, processed through a production-grade data pipeline into a clean, labeled, model-ready feature table.
The pipeline adds 16 engineered features on top of the original IEEE-CIS columns — including card-level velocity, email domain risk rates, and amount anomaly ratios — ready for direct use in fraud… See the full description on the dataset page: https://huggingface.co/datasets/Kshitijbhatt1998/ieee-fraud-detection-pipeline-features.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.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.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.ethereum_fraud_detectionSynthetic-Financial-Datasets-For-Fraud-Detectionfraud-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.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.cc_fraud_detection_datasetsynthetic-fraud-detectionNigerian-Financial-Transactions-and-Fraud-Detection-Dataset
Dataset Card for GLUE
Dataset Summary
GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems.
Supported Tasks and Leaderboards
The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks:
ax
A manually-curated evaluation dataset for fine-grained analysis of system… See the full description on the dataset page: https://huggingface.co/datasets/demola2/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.lead-ai-fraud-detection-dataset-v2
Lead.AI Fraud Detection Dataset v2 (Research-Grade)
Dataset Description
This is the second version (v2) of the synthetic fraud detection dataset generated for Lead.AI. This version is significantly upgraded to be research-grade, production-ready, and optimized for Trustworthy AI applications, particularly focusing on Explainable AI (XAI) methods like SHAP and LIME. It simulates realistic transaction data with a controlled class imbalance (1-2% fraud rate).
Why v2?… See the full description on the dataset page: https://huggingface.co/datasets/arun-gharami/lead-ai-fraud-detection-dataset-v2.africa-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.fraud_detectionMachine-Learning-Credit-Card-Fraud-Detection-Projectlead-ai-fraud-detection-dataset
📊 Lead.AI Fraud Detection Dataset
5,000-Row Synthetic Tabular Benchmark — Ready to Train, Ready to Publish
Published by Lead.AI Labs · Author: Arun Kumar Gharami
What This Dataset Is For
A clean, Parquet-formatted, immediately loadable synthetic fraud detection dataset built
for researchers, ML engineers, and course instructors who need realistic tabular financial
data without the legal complexity of real transaction data.
Use it to:
Build and benchmark… See the full description on the dataset page: https://huggingface.co/datasets/arun-gharami/lead-ai-fraud-detection-dataset.fraud-detection-underserved-20k
Underserved Financial Fraud Detection Dataset
Created with Adaptive Data by Adaption | CC BY 4.0 | 20,000 records | 8 languages | 390 reasoning traces
The first open-source fraud dataset built specifically around populations that PaySim, Sparkov, and IEEE-CIS have never modeled — immigrant remittance senders, gig workers, unbanked cash users, and ITIN-based entrepreneurs. These communities are disproportionately targeted by fraud. This dataset fills that gap.
This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/Nachammai41/fraud-detection-underserved-20k.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.edinet-bench-fraud-detection-curated
EDINET-Bench Curated Subset
This dataset contains 14 carefully selected samples from the EDINET-Bench fraud detection dataset,
curated using advanced difficulty assessment and model evaluation techniques.
Dataset Description
This is a high-quality subset of the EDINET-Bench fraud detection dataset, selected based on:
Difficulty Score: Measures how challenging the sample is for AI models
Consistency Score: Evaluates response consistency across different models
Model… See the full description on the dataset page: https://huggingface.co/datasets/japan-ai-official/edinet-bench-fraud-detection-curated.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.fraud_detectionNigerian-Financial-Transactions-and-Fraud-Detection-DatasetNigerian Financial Fraud Detection Dataset (Enhanced)
Overview
This is a comprehensive synthetic financial fraud detection dataset specifically engineered for the Nigerian fintech ecosystem. The dataset contains 5,000,000 transactions with 45 advanced features including sophisticated user behaviour analytics, device intelligence, risk scoring, and temporal patterns tailored for Nigerian financial fraud detection.
We have found that a lot of people are unable to use the full… See the full description on the dataset page: https://huggingface.co/datasets/ooladimeji/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.ethereum_fraud_detectionNigerian-Financial-Transactions-and-Fraud-Detection-DatasetNigerian Financial Fraud Detection Dataset (Enhanced)
Overview
This is a comprehensive synthetic financial fraud detection dataset specifically engineered for the Nigerian fintech ecosystem. The dataset contains 5,000,000 transactions with 45 advanced features including sophisticated user behaviour analytics, device intelligence, risk scoring, and temporal patterns tailored for Nigerian financial fraud detection.
We have found that a lot of people are unable to use the full… See the full description on the dataset page: https://huggingface.co/datasets/Phycrypp/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.credit_fraud_detectionfraud_detection_collectionsNigerian-Financial-Transactions-and-Fraud-Detection-DatasetNigerian Financial Fraud Detection Dataset (Enhanced)
Overview
This is a comprehensive synthetic financial fraud detection dataset specifically engineered for the Nigerian fintech ecosystem. The dataset contains 5,000,000 transactions with 45 advanced features including sophisticated user behaviour analytics, device intelligence, risk scoring, and temporal patterns tailored for Nigerian financial fraud detection.
We have found that a lot of people are unable to use… See the full description on the dataset page: https://huggingface.co/datasets/NanduKondreddy/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.