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--- |
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license: mit |
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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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- education |
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- waec |
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- jamb |
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- synthetic |
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- higher-education |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Nigeria Education – Graduation Rates |
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## Dataset Description |
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Synthetic Higher Education data for Nigeria education sector. |
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**Category**: Higher Education |
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**Rows**: 120,000 |
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**Format**: CSV, Parquet |
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**License**: MIT |
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**Synthetic**: Yes (generated using reference data from WAEC, JAMB, UBEC, NBS, UNESCO) |
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## Dataset Structure |
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### Schema |
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- **id**: string |
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- **date**: string |
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- **state**: string |
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- **value**: float |
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- **category**: string |
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### Sample Data |
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``` |
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| id | date | state | value | category | |
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|:-------------|:-----------|:--------|--------:|:-----------| |
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| REC-00387682 | 2023-08-31 | Anambra | 49.6 | A | |
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| REC-00033877 | 2022-06-30 | Zamfara | 90.1 | B | |
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| REC-00543672 | 2023-02-09 | Ebonyi | 73.5 | C | |
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| REC-00356209 | 2023-09-01 | Jigawa | 77.2 | A | |
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| REC-00325265 | 2022-11-05 | Taraba | 71.8 | A | |
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``` |
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## Data Generation Methodology |
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This dataset was synthetically generated using: |
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1. **Reference Sources**: |
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- WAEC (West African Examinations Council) - exam results, pass rates, grade distributions |
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- JAMB (Joint Admissions and Matriculation Board) - UTME scores, subject combinations |
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- UBEC (Universal Basic Education Commission) - enrollment, infrastructure, teacher data |
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- NBS (National Bureau of Statistics) - education surveys, literacy rates |
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- UNESCO - Nigeria education statistics, enrollment ratios |
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- UNICEF - Out-of-school children, gender parity indices |
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2. **Domain Constraints**: |
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- WAEC grading system (A1-F9) with official score ranges |
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- JAMB UTME scoring (0-400 points, 4 subjects) |
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- Nigerian curriculum structure (Primary, JSS, SSS) |
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- Academic calendar (3 terms: Sep-Dec, Jan-Apr, May-Jul) |
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- Regional disparities (North-South education gap) |
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- Gender parity indices by region and level |
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3. **Quality Assurance**: |
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- Distribution testing (WAEC grade distributions match national patterns) |
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- Correlation validation (attendance-performance, teacher quality-outcomes) |
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- Causal consistency (educational outcome models) |
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- Multi-scale coherence (student → school → state aggregations) |
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- Ethical considerations (representative, unbiased, privacy-preserving) |
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See `QUALITY_ASSURANCE.md` in the repository for full methodology. |
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## Use Cases |
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- **Machine Learning**: Performance prediction, dropout forecasting, admission modeling, resource allocation |
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- **Policy Analysis**: Education program evaluation, gender parity assessment, regional disparity studies |
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- **Research**: Teacher effectiveness, infrastructure impact, exam performance patterns |
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- **Education Planning**: School placement, teacher deployment, budget allocation |
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## Limitations |
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- **Synthetic data**: While grounded in real distributions from WAEC/JAMB/UBEC, individual records are not real observations |
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- **Simplified dynamics**: Some complex interactions (e.g., peer effects, teacher-student matching) are simplified |
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- **Temporal scope**: Covers 2022-2025; may not reflect longer-term trends or future policy changes |
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- **Spatial resolution**: State/LGA level; does not capture micro-level heterogeneity within localities |
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## Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@dataset{nigeria_education_2025, |
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title = {Nigeria Education – Graduation Rates}, |
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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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url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_education_graduation_rates} |
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} |
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``` |
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## Related Datasets |
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This dataset is part of the **Nigeria Education Sector** collection: |
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- https://huggingface.co/collections/electricsheepafrica/nigeria-education-sector |
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## Contact |
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For questions, feedback, or collaboration: |
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- **Organization**: Electric Sheep Africa |
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- **Collection**: Nigeria Education Sector |
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- **Repository**: https://github.com/electricsheepafrica/nigerian-datasets |
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## Changelog |
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### Version 1.0.0 (October 2025) |
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- Initial release |
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- 120,000 synthetic records |
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- Quality-assured using WAEC/JAMB/UBEC/NBS reference data |
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