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11
11
state
stringclasses
37 values
grade
stringclasses
6 values
assessment_date
stringdate
2022-01-01 00:00:00
2025-03-30 00:00:00
literacy_score
float64
0
100
numeracy_score
float64
0
100
STU-0327102
Rivers
Primary 2
2022-09-23
58.2
60.8
STU-0991258
Osun
Primary 2
2023-02-16
100
81.1
STU-0666756
Benue
Primary 4
2024-05-06
51.2
65.4
STU-0259371
Sokoto
Primary 1
2022-12-17
41.1
56
STU-0549458
Taraba
Primary 5
2024-11-15
46.2
77.6
STU-0537153
Abia
Primary 2
2024-02-09
90.7
85.5
STU-0609098
Edo
Primary 3
2022-06-04
100
97.6
STU-0045282
Akwa Ibom
Primary 4
2024-01-22
90.2
60.1
STU-0543779
Edo
Primary 6
2022-03-01
58.7
47.6
STU-0890964
Sokoto
Primary 6
2024-01-31
72.3
21.3
STU-0600490
FCT
Primary 5
2022-06-18
90.2
82.3
STU-0889405
Kogi
Primary 3
2022-06-10
57.4
90.4
STU-0247584
Yobe
Primary 3
2024-06-08
46
31.5
STU-0617130
Yobe
Primary 3
2025-03-20
73.4
19.3
STU-0880799
Kano
Primary 5
2023-03-28
75.1
63.1
STU-0839736
Ogun
Primary 2
2024-12-20
70.7
100
STU-0022367
Ogun
Primary 2
2023-01-14
82
87.9
STU-0141757
Kogi
Primary 5
2023-12-27
85.1
12.2
STU-0806275
Plateau
Primary 1
2024-07-17
92.5
83
STU-0999680
Kwara
Primary 2
2024-08-17
58.1
76.3
STU-0459985
Kebbi
Primary 4
2023-01-18
55
21.8
STU-0474688
Taraba
Primary 2
2024-08-28
35.9
63.5
STU-0363942
Kebbi
Primary 1
2023-11-02
55.9
21.7
STU-0783460
Kebbi
Primary 6
2024-12-16
30
47.6
STU-0665673
Edo
Primary 1
2023-04-23
64.8
53.6
STU-0302806
Kano
Primary 3
2022-03-11
24.5
32.6
STU-0469898
Akwa Ibom
Primary 6
2022-07-16
67.3
96.1
STU-0506630
Kano
Primary 3
2023-04-10
38.1
56.5
STU-0179052
Benue
Primary 5
2024-04-14
57
62.8
STU-0511208
Edo
Primary 3
2022-07-25
78
60
STU-0967340
Taraba
Primary 2
2024-05-17
41.4
27.3
STU-0203627
Oyo
Primary 3
2023-04-13
78.1
92.2
STU-0966975
Ogun
Primary 6
2022-11-22
83.4
92.5
STU-0123093
Abia
Primary 4
2023-08-11
95.9
63.3
STU-0502013
Bayelsa
Primary 1
2024-03-19
70.7
70.6
STU-0312308
Enugu
Primary 5
2022-02-15
83
79.6
STU-0750307
Borno
Primary 2
2023-04-20
35
46.6
STU-0449967
Anambra
Primary 5
2024-09-07
78.1
100
STU-0640495
Plateau
Primary 3
2023-04-17
74.2
33.2
STU-0691954
Kwara
Primary 3
2022-04-17
79.2
60.5
STU-0354703
Gombe
Primary 5
2023-02-06
60.8
63.2
STU-0015287
Anambra
Primary 2
2023-08-13
89.3
94.6
STU-0138075
Borno
Primary 2
2022-12-21
39.1
37.8
STU-0834504
Adamawa
Primary 4
2024-11-28
63.1
36.3
STU-0548757
Akwa Ibom
Primary 3
2022-10-27
86
99.1
STU-0470624
Bauchi
Primary 2
2023-06-21
53.9
36.4
STU-0505620
Yobe
Primary 5
2024-05-22
50.1
21.6
STU-0757271
Adamawa
Primary 5
2022-08-13
52.3
84.4
STU-0804256
Oyo
Primary 6
2022-08-31
88.1
70.9
STU-0347857
Anambra
Primary 3
2022-09-13
79.8
91.3
STU-0810504
Imo
Primary 6
2024-06-05
80.5
93.2
STU-0037774
Benue
Primary 3
2025-03-26
66
72
STU-0089683
Kano
Primary 2
2023-05-05
21.6
50.5
STU-0635955
Kano
Primary 5
2022-03-04
71.1
50.7
STU-0950113
FCT
Primary 1
2024-04-30
60.2
54.5
STU-0670231
Abia
Primary 1
2025-02-01
61.4
100
STU-0229273
Borno
Primary 2
2024-12-04
55.5
23.9
STU-0629253
Enugu
Primary 1
2024-06-12
69.4
71.1
STU-0478085
FCT
Primary 4
2023-11-27
67.1
77.9
STU-0151945
Kebbi
Primary 2
2023-10-17
64.5
42.8
STU-0651665
Enugu
Primary 2
2023-08-08
85
58.8
STU-0407959
Zamfara
Primary 6
2022-09-19
51.5
47
STU-0002148
Niger
Primary 6
2022-11-02
79.5
71.1
STU-0430978
Imo
Primary 4
2022-05-25
30.3
72.3
STU-0094965
Ondo
Primary 4
2022-07-01
91
85.4
STU-0442142
Delta
Primary 2
2024-12-12
94.6
100
STU-0761631
Nasarawa
Primary 2
2022-05-04
57.8
44
STU-0100510
Ondo
Primary 2
2024-11-15
88.3
83.3
STU-0256589
Edo
Primary 4
2023-07-21
63.4
76.5
STU-0959591
Ekiti
Primary 6
2023-07-25
100
77.8
STU-0935812
Osun
Primary 4
2024-01-10
90.2
85.2
STU-0925049
Oyo
Primary 6
2025-03-19
83.5
55.1
STU-0299601
Yobe
Primary 4
2022-03-28
63.1
26
STU-0262193
Zamfara
Primary 4
2023-11-07
34.1
17.5
STU-0810463
Anambra
Primary 3
2022-06-10
60
68
STU-0309918
Imo
Primary 3
2023-09-30
51.1
47
STU-0499194
Katsina
Primary 1
2023-02-08
45.6
39.2
STU-0417037
Anambra
Primary 6
2024-09-12
100
57.5
STU-0316126
Cross River
Primary 3
2024-12-17
88.4
79.4
STU-0912698
Niger
Primary 4
2024-09-09
100
82.7
STU-0754549
Delta
Primary 1
2022-05-04
57.5
65.9
STU-0234050
Delta
Primary 5
2024-05-09
93
100
STU-0375318
Kwara
Primary 6
2022-12-05
61.2
69.4
STU-0982320
Gombe
Primary 6
2023-10-29
36.8
22.6
STU-0577685
Kaduna
Primary 6
2024-10-07
28
65.2
STU-0739667
Delta
Primary 4
2023-08-25
84.7
49.1
STU-0591515
Kogi
Primary 5
2024-07-26
58.2
44.4
STU-0141637
Kogi
Primary 1
2024-07-17
50.3
89.5
STU-0106772
FCT
Primary 5
2022-10-07
49.2
87.6
STU-0346184
Imo
Primary 5
2024-05-17
96.8
57.1
STU-0039145
Kaduna
Primary 5
2024-12-31
21
42.8
STU-0582851
Imo
Primary 1
2024-10-29
87.3
100
STU-0835844
Cross River
Primary 2
2023-07-30
75.9
54.5
STU-0637301
FCT
Primary 3
2023-03-25
60.2
65.9
STU-0959142
Kano
Primary 1
2025-03-23
31.8
64.1
STU-0414743
Lagos
Primary 6
2023-06-19
62.3
82
STU-0646557
Taraba
Primary 4
2024-06-21
53.9
6.3
STU-0386498
Ekiti
Primary 5
2023-01-19
95.6
88.3
STU-0761840
Kwara
Primary 3
2023-06-26
81
64.4
STU-0307150
Edo
Primary 5
2024-01-03
95.8
88.7
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Nigeria Education – Primary School Assessments

Dataset Description

Primary school literacy and numeracy test scores.

Category: Student Performance & Exams
Rows: 400,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from WAEC, JAMB, UBEC, NBS, UNESCO)

Dataset Structure

Schema

  • student_id: string
  • state: string
  • grade: string
  • assessment_date: string
  • literacy_score: float
  • numeracy_score: float

Sample Data

| student_id   | state   | grade     | assessment_date   |   literacy_score |   numeracy_score |
|:-------------|:--------|:----------|:------------------|-----------------:|-----------------:|
| STU-0327102  | Rivers  | Primary 2 | 2022-09-23        |             58.2 |             60.8 |
| STU-0991258  | Osun    | Primary 2 | 2023-02-16        |            100   |             81.1 |
| STU-0666756  | Benue   | Primary 4 | 2024-05-06        |             51.2 |             65.4 |
| STU-0259371  | Sokoto  | Primary 1 | 2022-12-17        |             41.1 |             56   |
| STU-0549458  | Taraba  | Primary 5 | 2024-11-15        |             46.2 |             77.6 |

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 β†’ school β†’ 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:

@dataset{nigeria_education_2025,
  title = {Nigeria Education – Primary School Assessments},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_education_primary_assessments}
}

Related Datasets

This dataset is part of the Nigeria Education Sector collection:

Contact

For questions, feedback, or collaboration:

Changelog

Version 1.0.0 (October 2025)

  • Initial release
  • 400,000 synthetic records
  • Quality-assured using WAEC/JAMB/UBEC/NBS reference data
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