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README.md

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+---
+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)