--- license: mit task_categories: - tabular-regression tags: - nigeria - education - waec - jamb - synthetic - policy-and-governance size_categories: - 1K ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. # Nigeria Education – Policy Reforms ## Dataset Description Synthetic Policy & Governance data for Nigeria education sector. **Category**: Policy & Governance **Rows**: 2,000 **Format**: CSV, Parquet **License**: MIT **Synthetic**: Yes (generated using reference data from WAEC, JAMB, UBEC, NBS, UNESCO) ## Dataset Structure ### Schema - **id**: string - **date**: string - **state**: string - **value**: float - **category**: string ### Sample Data ``` | id | date | state | value | category | |:-------------|:-----------|:--------|--------:|:-----------| | REC-00223959 | 2022-06-05 | Delta | 51.5 | B | | REC-00268889 | 2023-05-10 | Niger | 64.2 | B | | REC-00525862 | 2022-04-26 | Niger | 63.5 | C | | REC-00485349 | 2022-12-23 | Yobe | 51.9 | A | | REC-00214956 | 2024-05-25 | Kogi | 75.1 | C | ``` ## Data Generation Methodology This dataset was synthetically generated using: 1. **Reference Sources**: - WAEC (West African Examinations Council) - exam results, pass rates, grade distributions - JAMB (Joint Admissions and Matriculation Board) - UTME scores, subject combinations - UBEC (Universal Basic Education Commission) - enrollment, infrastructure, teacher data - NBS (National Bureau of Statistics) - education surveys, literacy rates - UNESCO - Nigeria education statistics, enrollment ratios - UNICEF - Out-of-school children, gender parity indices 2. **Domain Constraints**: - WAEC grading system (A1-F9) with official score ranges - JAMB UTME scoring (0-400 points, 4 subjects) - Nigerian curriculum structure (Primary, JSS, SSS) - Academic calendar (3 terms: Sep-Dec, Jan-Apr, May-Jul) - Regional disparities (North-South education gap) - Gender parity indices by region and level 3. **Quality Assurance**: - Distribution testing (WAEC grade distributions match national patterns) - Correlation validation (attendance-performance, teacher quality-outcomes) - Causal consistency (educational outcome models) - Multi-scale coherence (student → school → state aggregations) - Ethical considerations (representative, unbiased, privacy-preserving) See `QUALITY_ASSURANCE.md` in the repository for full methodology. ## Use Cases - **Machine Learning**: Performance prediction, dropout forecasting, admission modeling, resource allocation - **Policy Analysis**: Education program evaluation, gender parity assessment, regional disparity studies - **Research**: Teacher effectiveness, infrastructure impact, exam performance patterns - **Education Planning**: School placement, teacher deployment, budget allocation ## Limitations - **Synthetic data**: While grounded in real distributions from WAEC/JAMB/UBEC, individual records are not real observations - **Simplified dynamics**: Some complex interactions (e.g., peer effects, teacher-student matching) are simplified - **Temporal scope**: Covers 2022-2025; may not reflect longer-term trends or future policy changes - **Spatial resolution**: State/LGA level; does not capture micro-level heterogeneity within localities ## Citation If you use this dataset, please cite: ```bibtex @dataset{nigeria_education_2025, title = {Nigeria Education – Policy Reforms}, author = {Electric Sheep Africa}, year = {2025}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_education_policy_reforms} } ``` ## Related Datasets This dataset is part of the **Nigeria Education Sector** collection: - https://huggingface.co/collections/electricsheepafrica/nigeria-education-sector ## Contact For questions, feedback, or collaboration: - **Organization**: Electric Sheep Africa - **Collection**: Nigeria Education Sector - **Repository**: https://github.com/electricsheepafrica/nigerian-datasets ## Changelog ### Version 1.0.0 (October 2025) - Initial release - 2,000 synthetic records - Quality-assured using WAEC/JAMB/UBEC/NBS reference data