lead-ai-labs/fraud-detection-Table-data

---
license: cc-by-4.0
task_categories:
- tabular-classification
language:
- en
tags:
- fraud-detection
- credit-card-fraud
- financial-ai
- trustworthy-ai
- explainable-ai
- lead-ai
pretty_name: Lead.AI Fraud Detection Table Data
size_categories:
- 10K<n<100K
---

# Lead.AI Fraud Detection Table Data

This dataset provides structured transaction-style tabular data for fraud detection, financial risk scoring, and trustworthy AI model development.

## Dataset Purpose

The dataset is designed for machine learning experiments in binary fraud classification.

## Columns

- `Time` — transaction time value
- `V1` to `V28` — anonymized numerical transaction features
- `Amount` — transaction amount
- `Class` — target label
- `0` = normal transaction
- `1` = fraudulent transaction

## Use Cases

- Credit card fraud detection
- Financial risk prediction
- Explainable AI research
- Trustworthy machine learning demos
- Lead.AI automation model testing

## Intended Users

This dataset is suitable for students, researchers, machine learning engineers, and AI product builders working on fraud detection and financial AI systems.

## Ethical Use

This dataset is intended for research, education, and demonstration purposes only. It should not be used as a sole decision-making tool for real financial approvals, fraud accusations, or customer risk decisions without proper validation, compliance review, and human oversight.

## Citation

If you use this dataset, please cite:

Arun Kumar Gharami. Lead.AI Fraud Detection Table Data. Hugging Face Datasets, 2026.

## Author

**Lead.AI Labs – Intelligent Automation & Trustworthy AI Systems**
Created by Arun Kumar Gharami