|
|
--- |
|
|
license: apache-2.0 |
|
|
task_categories: |
|
|
- tabular-classification |
|
|
tags: |
|
|
- nigeria |
|
|
- banking |
|
|
- finance |
|
|
- fraud-detection |
|
|
- synthetic |
|
|
- african-data |
|
|
language: |
|
|
- en |
|
|
size_categories: |
|
|
- 1M<n<10M |
|
|
--- |
|
|
|
|
|
# Web Banking Sessions |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
Nigerian web banking sessions with session hijacking fraud labels |
|
|
|
|
|
This is a **production-grade synthetic dataset** with authentic Nigerian banking context, designed for web fraud detection, phishing detection, and browser-based threat monitoring. |
|
|
|
|
|
### Key Features |
|
|
|
|
|
- 🇳🇬 **Nigerian Context**: Real bank names, states, demographics |
|
|
- 📊 **ML-Ready Labels**: Fraud flag (0.8% prevalence) |
|
|
- ⚡ **Large Scale**: 3,000,000 rows |
|
|
- 🎯 **Realistic Distributions**: Lognormal session durations, browser distributions, hourly patterns |
|
|
- 📅 **Temporal Coverage**: 2023-01-01 to 2024-12-31 |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
### Splits |
|
|
|
|
|
- **Train**: 2,100,000 rows (70%) |
|
|
- **Validation**: 450,000 rows (15%) |
|
|
- **Test**: 450,000 rows (15%) |
|
|
|
|
|
### Schema |
|
|
|
|
|
**Key columns**: session_id, session_start/end, customer_id, account_id, device_id, browser, browser_version, session_duration_seconds, actions_count, transactions_count, login_method, state, ip_address, session_status, fraud_flag |
|
|
|
|
|
## Usage |
|
|
|
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
# Load full dataset |
|
|
dataset = load_dataset("electricsheepafrica/nigerian_web_banking_sessions") |
|
|
|
|
|
# Load specific split |
|
|
train_data = load_dataset("electricsheepafrica/nigerian_web_banking_sessions", split="train") |
|
|
``` |
|
|
|
|
|
## Labels |
|
|
|
|
|
- **Type**: Fraud flag (0.8% prevalence) |
|
|
- **Use Case**: web fraud detection, phishing detection, and browser-based threat monitoring |
|
|
|
|
|
## Nigerian Context |
|
|
|
|
|
Nigerian web banking patterns, browser distribution (Chrome 55%, Safari 20%, Firefox 15%), typical session behaviors, and fraud patterns including credential stuffing and session replay. |
|
|
|
|
|
## Citation |
|
|
|
|
|
```bibtex |
|
|
@dataset{nigerian_banking_web_banking_sessions, |
|
|
title = {Nigerian Web Banking Sessions}, |
|
|
author = {Electric Sheep Africa}, |
|
|
year = {2025}, |
|
|
publisher = {Hugging Face}, |
|
|
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/nigerian_web_banking_sessions}} |
|
|
} |
|
|
``` |
|
|
|
|
|
## License |
|
|
|
|
|
Apache 2.0 - Free for commercial and research use. |
|
|
|
|
|
## Contact |
|
|
|
|
|
- **Organization**: Electric Sheep Africa |
|
|
- **Collection**: [Nigeria Banking & Finance Datasets](https://huggingface.co/collections/electricsheepafrica/nigeria-banking) |
|
|
|
