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--- |
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license: apache-2.0 |
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task_categories: |
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- tabular-classification |
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tags: |
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- nigeria |
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- banking |
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- finance |
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- fraud-detection |
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- synthetic |
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- african-data |
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language: |
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- en |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Agent Network (Super Agents, Master Agents, Sub-Agents) |
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## Dataset Description |
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Nigerian banking agents and their transactions with fraud labels |
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This is a **production-grade synthetic dataset** with authentic Nigerian banking context, designed for agent fraud detection, network optimization, and commission management. |
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### Key Features |
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- 🇳🇬 **Nigerian Context**: Real bank names, states, demographics |
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- 📊 **ML-Ready Labels**: Fraud flag (2.5% prevalence) |
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- ⚡ **Large Scale**: 2,000,000 rows |
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- 🎯 **Realistic Distributions**: Lognormal volumes, agent type hierarchies, commission structures |
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- 📅 **Temporal Coverage**: 2023-01-01 to 2024-12-31 |
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## Dataset Structure |
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### Splits |
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- **Train**: 1,400,000 rows (70%) |
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- **Validation**: 300,000 rows (15%) |
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- **Test**: 300,000 rows (15%) |
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### Schema |
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**Key columns**: agent_id, agent_name, state, agent_type (super/master/sub), monthly_volume_ngn, monthly_transactions, commission_rate, kyc_tier, fraud_flag |
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## Usage |
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```python |
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from datasets import load_dataset |
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# Load full dataset |
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dataset = load_dataset("electricsheepafrica/nigerian_agent_network") |
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# Load specific split |
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train_data = load_dataset("electricsheepafrica/nigerian_agent_network", split="train") |
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``` |
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## Labels |
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- **Type**: Fraud flag (2.5% prevalence) |
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- **Use Case**: agent fraud detection, network optimization, and commission management |
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## Nigerian Context |
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Nigerian agent banking network structure, super agent chains, rural agent distributions across 37 states, KYC tier distributions, and fraud patterns including float diversion and fake transactions. |
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## Citation |
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```bibtex |
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@dataset{nigerian_banking_agent_network, |
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title = {Nigerian Agent Network (Super Agents, Master Agents, Sub-Agents)}, |
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author = {Electric Sheep Africa}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/nigerian_agent_network}} |
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} |
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``` |
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## License |
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Apache 2.0 - Free for commercial and research use. |
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## Contact |
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- **Organization**: Electric Sheep Africa |
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- **Collection**: [Nigeria Banking & Finance Datasets](https://huggingface.co/collections/electricsheepafrica/nigeria-banking) |
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