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README.md

@@ -1,168 +1,151 @@
 ---
 license: cc-by-4.0
 task_categories:
-  - tabular-classification
-  - tabular-regression
+- other
 language:
-  - en
+- en
 tags:
-  - healthcare
-  - demographics
-  - geography
-  - australia
-  - census
-  - health-data
-  - socioeconomic
-  - geospatial
+- australia
+- health
+- geography
+- sa2
+- demographics
+- climate
+pretty_name: Australian Health and Geographic Data (AHGD)
 size_categories:
-  - 1K<n<10K
-dataset_info:
-  features:
-    - name: sa2_code_2021
-      dtype: string
-    - name: sa2_name_2021
-      dtype: string
-    - name: total_population_2021
-      dtype: int64
-    - name: median_age_2021
-      dtype: float64
-  config_name: default
-  data_files:
-    - split: train
-      path: "ahgd_master_dataset_real.parquet"
-  download_size: 133642
-  dataset_size: 2472
+- n<1K
 ---
 
-# Australian Healthcare Geographic Database (AHGD) 
+# Australian Health and Geographic Data (AHGD)
 
-[![License: CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
-[![Dataset Size](https://img.shields.io/badge/Dataset-2,472%20records-blue.svg)](https://huggingface.co/datasets/massomo/ahgd)
+## Dataset Description
 
-## Overview
+The Australian Health and Geographic Data (AHGD) dataset provides comprehensive health, demographic, and environmental indicators at the Statistical Area Level 2 (SA2) geography across Australia. This dataset integrates multiple authoritative Australian data sources to enable health geography research, policy analysis, and machine learning applications.
 
-The Australian Healthcare Geographic Database (AHGD) is a comprehensive, production-ready dataset that integrates demographic, socioeconomic, health, and environmental data for all 2,472 Statistical Area Level 2 (SA2) regions across Australia. This dataset provides researchers, policymakers, and data scientists with a unified view of Australian communities at a granular geographic level.
+### Dataset Summary
 
-## Dataset Description
+- **Geographic Coverage**: Australian SA2 statistical areas
+- **Temporal Coverage**: 2021 reference year
+- **Data Sources**: Australian Institute of Health and Welfare (AIHW), Australian Bureau of Statistics (ABS), Bureau of Meteorology (BOM)
+- **Total Records**: 12
+- **Format Availability**: parquet, csv, json, geojson
 
-This dataset combines data from multiple authoritative Australian government sources:
+### Supported Tasks
 
-- **Australian Bureau of Statistics (ABS)**: 2021 Census demographic data
-- **Australian Institute of Health and Welfare (AIHW)**: Health indicators and outcomes
-- **Bureau of Meteorology (BOM)**: Climate and environmental data
-- **Department of Health**: Healthcare service utilization data
+- Health geography analysis
+- Spatial epidemiology research
+- Environmental health studies
+- Social determinants of health research
+- Machine learning for health prediction
+- Policy impact assessment
 
-### Key Features
+### Languages
 
-- **Complete Coverage**: All 2,472 SA2 regions across Australia
-- **Multi-dimensional**: Demographics, health, environment, and socioeconomic indicators
-- **Production Quality**: Real government data sources with validation pipelines
-- **Research Ready**: Cleaned, standardized, and integrated for immediate analysis
+English (Australian spelling and terminology)
 
-## Data Fields
+## Dataset Structure
 
-The dataset contains the following key categories of information:
+### Data Instances
 
-### Geographic Identifiers
-- `sa2_code_2021`: Unique SA2 identifier (2021 boundaries)
-- `sa2_name_2021`: SA2 region name
-- `state_code_2021`: State/territory code
-- `gcc_code_2021`: Greater Capital City Statistical Area code
+Each record represents a Statistical Area Level 2 (SA2) with associated health, demographic, and environmental indicators.
 
-### Demographic Data
-- `total_population_2021`: Total population count
-- `median_age_2021`: Median age of residents
-- `indigenous_population_pct`: Percentage of Indigenous population
-- `overseas_born_pct`: Percentage born overseas
-- `unemployment_rate_2021`: Unemployment rate
+### Data Fields
 
-### Socioeconomic Indicators
-- `median_household_income_weekly`: Median weekly household income
-- `seifa_advantage_disadvantage_score`: SEIFA disadvantage index
-- `education_university_pct`: Percentage with university education
+Key data fields include:
 
-### Health & Environmental
-- `healthcare_services_per_1000`: Healthcare services per 1000 residents
-- `air_quality_index_avg`: Average air quality index
-- `climate_zone`: Köppen climate classification
+- **Geographic identifiers**: SA2, SA3, SA4 codes and names
+- **Health indicators**: Life expectancy, chronic disease prevalence, health service utilisation
+- **Environmental data**: Temperature, rainfall, air quality measures
+- **Socioeconomic indicators**: SEIFA indices, employment rates
+- **Demographic characteristics**: Population, age structure, cultural diversity
 
-## Usage Example
+### Data Splits
 
-```python
-import pandas as pd
+This dataset does not have predefined train/validation/test splits as it represents cross-sectional geographic data.
 
-# Load the dataset
-df = pd.read_parquet('ahgd_master_dataset_real.parquet')
+## Dataset Creation
 
-# Basic exploration
-print(f"Dataset shape: {df.shape}")
-print(f"Columns: {df.columns.tolist()}")
-print(f"SA2 regions covered: {df['sa2_code_2021'].nunique()}")
+### Curation Rationale
 
-# Example analysis: Top 10 SA2s by population
-top_population = df.nlargest(10, 'total_population_2021')[
-    ['sa2_name_2021', 'state_code_2021', 'total_population_2021']
-]
-print("Top 10 most populous SA2 regions:")
-print(top_population)
-```
+This dataset was created to support health geography research and policy analysis in Australia by providing integrated, high-quality data at meaningful geographic scales.
 
-## Data Sources & Methodology
+### Source Data
 
-### Primary Data Sources
-1. **ABS 2021 Census DataPacks**: Comprehensive demographic data at SA2 level
-2. **ASGS Digital Boundary Files**: Geographic boundaries and classifications
-3. **AIHW Health Data**: Health outcomes and healthcare utilization
-4. **BOM Climate Data**: Temperature, rainfall, and environmental indicators
+#### Initial Data Collection and Normalisation
 
-### Data Processing Pipeline
-- Automated extraction from government APIs and data portals
-- Standardization using common geographic identifiers (SA2_CODE_2021)
-- Quality validation with statistical and business rule checks
-- Integration using spatial and temporal alignment procedures
+Data is sourced from:
 
-## File Formats
+1. **Australian Institute of Health and Welfare (AIHW)**: Health indicators and outcomes
+2. **Australian Bureau of Statistics (ABS)**: Geographic boundaries and demographic data
+3. **Bureau of Meteorology (BOM)**: Climate and environmental data
 
-- **Parquet**: `ahgd_master_dataset_real.parquet` (optimized for analytics)
-- **CSV**: `ahgd_master_dataset_real.csv` (universal compatibility)
-- **Metadata**: `dataset_metadata.json` (schema and provenance information)
+#### Who are the source language producers?
 
-## Data Quality
+Australian government agencies producing official statistics and health data.
 
-- **Completeness**: 100% geographic coverage of Australian SA2 regions
-- **Accuracy**: Validated against official ABS population totals
-- **Timeliness**: Based on most recent available data (2021 Census)
-- **Consistency**: Standardized field names and data types across sources
+### Annotations
 
-## Licensing & Attribution
+#### Annotation process
 
-This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
+Data undergoes comprehensive validation including:
+- Geographic boundary verification
+- Statistical outlier detection
+- Data quality scoring
+- Cross-source consistency checking
 
-### Required Citation
+#### Who are the annotators?
 
-```
-Australian Healthcare Geographic Database (AHGD) v2.0.0 (2024). 
-Integrated demographic, health, and environmental data for Australian SA2 regions.
-Dataset derived from Australian Bureau of Statistics, Australian Institute of Health and Welfare,
-and Bureau of Meteorology official data sources.
-```
+Automated validation systems with expert review by health geography researchers.
 
-### Data Source Attribution
-- Australian Bureau of Statistics (ABS) © Commonwealth of Australia
-- Australian Institute of Health and Welfare (AIHW) © Commonwealth of Australia  
-- Bureau of Meteorology (BOM) © Commonwealth of Australia
+### Personal and Sensitive Information
 
-## Version Information
+This dataset contains only aggregated, de-identified data at the SA2 level. No individual-level information is included.
 
-- **Version**: 2.0.0
-- **Release Date**: June 2024
-- **Records**: 2,472 SA2 regions
-- **Reference Period**: 2021 (primary data year)
+## Considerations for Using the Data
 
-## Contact & Support
+### Social Impact of Dataset
 
-For questions, issues, or suggestions regarding this dataset, please open an issue in the repository or contact the maintainers.
+This dataset can support:
+- Evidence-based health policy development
+- Resource allocation decisions
+- Health inequity identification
+- Environmental health research
 
----
+### Discussion of Biases
+
+Users should be aware of:
+- Potential underrepresentation in remote areas
+- Temporal lag between data collection and availability
+- Varying data quality across geographic regions
+
+### Other Known Limitations
+
+- Data currency varies by indicator
+- Some regional areas may have suppressed values due to privacy requirements
+- Climate data interpolation may introduce spatial uncertainty
+
+## Additional Information
+
+### Dataset Curators
+
+Australian Health and Geographic Data (AHGD) Project Team
+
+### Licensing Information
+
+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+### Citation Information
+
+```
+@dataset{ahgd2024,
+  title={Australian Health and Geographic Data (AHGD)},
+  author={AHGD Project Team},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/ahgd/australian-health-geographic-data}
+}
+```
+
+### Contributions
 
-*This dataset supports research into Australian healthcare accessibility, demographic patterns, and regional development planning.*
+Thanks to the Australian Institute of Health and Welfare, Australian Bureau of Statistics, and Bureau of Meteorology for providing the underlying data sources.