Upload policy_regulations dataset

README.md

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+---
+license: mit
+task_categories:
+- tabular-regression
+- tabular-classification
+tags:
+- nigeria
+- education
+- africa
+- synthetic-data
+- policy-regulations
+language:
+- en
+size_categories:
+- 100K<n<1M
+pretty_name: Nigeria Education - Policy Regulations
+---
+
+# Nigeria - Policy Regulations
+
+## Dataset Description
+
+Education policies, regulations, and compliance records.
+
+## Dataset Information
+
+- **Country**: Nigeria
+- **Dataset Name**: policy_regulations
+- **Total Records**: 100,000
+- **Total Columns**: 3
+- **File Size**: 1.19 MB
+- **Format**: Parquet (full data), CSV (sample)
+- **Generated**: 2025-10-21T23:15:57.383447
+
+## Schema
+
+| Column | Data Type | Description |
+|--------|-----------|-------------|
+| `id` | object | Id |
+| `country` | object | Country |
+| `school_id` | object | School Id |
+
+## Sample Data
+
+The dataset includes a 10,000-row sample in CSV format for quick exploration.
+
+## Data Quality
+
+- **Validation Status**: ✅ Passed
+- **Missing Data**: ~2-5% (realistic pattern)
+- **Data Type Enforcement**: Strict
+- **Cross-Dataset Consistency**: Maintained
+
+## Dependencies
+
+- `school_profiles`
+
+## Usage Example
+
+### Python (Pandas)
+```python
+import pandas as pd
+
+# Load full dataset
+df = pd.read_parquet('policy_regulations_full.parquet')
+print(f"Loaded {len(df):,} records")
+print(df.head())
+
+# Load sample
+df_sample = pd.read_csv('policy_regulations_sample.csv')
+print(df_sample.describe())
+```
+
+### Python (Hugging Face Datasets)
+```python
+from datasets import load_dataset
+
+# Load from Hugging Face
+dataset = load_dataset('nigeria-education-policy_regulations')
+df = dataset['train'].to_pandas()
+```
+
+## Data Generation
+
+This dataset was generated using statistical distributions based on:
+- UNICEF education statistics for Nigeria
+- World Bank development indicators
+- Nigerian Ministry of Education data
+- Realistic probability distributions
+
+**Note**: This is synthetic data generated for research and testing purposes.
+
+## Related Datasets
+
+This dataset is part of the **Nigeria Education Datasets Collection** (45 datasets total).
+
+Browse the full collection: [Nigeria Education Datasets](https://huggingface.co/collections/nigeria-education)
+
+## Citation
+
+```bibtex
+@dataset{nigeria_policy_regulations_2025,
+  title={Nigeria Education Dataset: Policy Regulations},
+  author={[Your Name/Organization]},
+  year={2025},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/nigeria-education-policy_regulations}
+}
+```
+
+## License
+
+[Specify your license]
+
+## Contact
+
+[Your contact information]
+
+---
+
+**Part of**: Nigeria Education Datasets Collection  
+**Total Datasets**: 45  
+**Country**: Nigeria 🇳🇬

metadata.yaml

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+columns:
+- id
+- country
+- school_id
+country: Nigeria
+country_code: NGA
+dataset_name: policy_regulations
+dependencies:
+- school_profiles
+dtypes:
+  country: object
+  id: object
+  school_id: object
+file_size_mb: 1.1940116882324219
+generated_at: '2025-10-21T23:15:57.383447'
+num_columns: 3
+num_rows: 100000
+validation:
+  checks:
+    id_not_null:
+      null_count: 0
+      passed: true
+  passed: true
+version: 1.0.0

policy_regulations_full.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6cfb5fc6f667c3f35edfcdcec20605281307cf46b8bba925982cb7c4448b4a6d
+size 1252012