Standardize Electric Sheep Africa dataset card

README.md

@@ -1,29 +1,139 @@
 ---
-license: apache-2.0
+license: other
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
 tags:
-- Alcohol
-- Africa
-- capita
-- Health
-- WHO
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "health"
+- "csv"
+- "tabular"
+- "text"
+- "alcohol"
+- "capita"
+- "who"
+pretty_name: "Total Alcohol Per Capita 15 Years Of Age Consumption for African Countries | Africa (World Health Organization)"
 ---
 
-# Total alcohol per capita (>= 15 years of age) consumption (litres of pure alcohol) for African Countries
+# Total Alcohol Per Capita 15 Years Of Age Consumption for African Countries | Africa (World Health Organization)
 
-## Dataset Description
+**Size category:** `n<1K` - **Formats:** `csv` - **Sector:** health - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
-This dataset contains 'Total alcohol per capita (>= 15 years of age) consumption (litres of pure alcohol)' data for all 54 African countries, sourced from the World Health Organization (WHO). The data is structured with years as rows and countries as columns, facilitating time-series analysis.
+![size](https://img.shields.io/badge/size-n%3C1K-blue)
+![sector](https://img.shields.io/badge/sector-health-green)
+![downloads](https://img.shields.io/badge/HF_downloads-10-orange)
+![license](https://img.shields.io/badge/license-other-lightgrey)
 
-The data is measured in: >= 15 years of age.
+## TL;DR
 
-Missing values have been handled using linear interpolation followed by forward and backward filling to ensure a complete dataset.
+This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
 
-## How to Use
+## What This Dataset Covers
+
+Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.
+
+Dataset context from the existing Hugging Face card: Total alcohol per capita (>= 15 years of age) consumption (litres of pure alcohol) for African Countries Dataset Description This dataset contains 'Total alcohol per capita (>= 15 years of age) consumption (litres of pure alcohol)' data for all 54 African countries, sourced from the World Health Organization (WHO). The data is structured with years as rows and countries as columns, facilitating time-series analysis. The data is measured in: >= 15 years of age. Missing… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries.
+
+## Dataset Profile
+
+| Field | Value |
+|---|---|
+| Hugging Face repo | [`electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries`](https://huggingface.co/datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries) |
+| Sector | health |
+| Topic tags | Alcohol, capita, Health, WHO |
+| Modalities | `tabular`, `text` |
+| Formats | `csv` |
+| Size category | `n<1K` |
+| Countries | Africa-wide or source-defined African coverage |
+| ISO3 coverage | `not declared` |
+| Last modified on HF | `2025-06-21 17:53:18+00:00` |
+| Inventory snapshot | `2026-07-16T16:00:34Z` |
+
+## How To Read This Dataset
+
+- Start from the repository files and the dataset viewer when available.
+- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
+- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
+- Preserve missing values until you have a defensible imputation rule.
+
+## Usage
 
-You can load the data using pandas:
 ```python
-import pandas as pd
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries")
+print(ds)
+
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
+```
+
+### Convert To Pandas When Tabular
+
+```python
+from datasets import Dataset
+
+first_split = ds[next(iter(ds))]
+if isinstance(first_split, Dataset):
+    df = first_split.to_pandas()
+    print(df.head())
+```
+
+## Data Quality Notes
+
+- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
+- Exact schema, row counts, and source files should be inspected in the repository data files.
+- Metadata gaps from the inventory: country, upstream_publisher, language.
+- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
+
+## Source And Provenance
+
+- **Source context:** World Health Organization
+- **Publisher/source attribution:** WHO public data
+- **License:** apache-2.0
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries](https://huggingface.co/datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries)
+- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
+
+## Suggested Analyses
+
+- Inspect schema and missingness before modeling.
+- Profile variables by geography, time, and subgroup columns where present.
+- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
+- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
+
+## Citation
+
+```bibtex
+@misc{electric_sheep_africa_total_alcohol_per_capita_15_years_of_age_consumption_for_african_countries_2026,
+  title        = {Total Alcohol Per Capita 15 Years Of Age Consumption for African Countries | Africa (World Health Organization)},
+  author       = {WHO public data},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries}}
+}
+```
+
+## License
+
+Released under apache-2.0.
+
+Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
+
+## About Electric Sheep Africa
+
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
+
+---
 
-df = pd.read_csv('hf://datasets/electricsheepafrica/Total-Alcohol-Per-Capita-15-Years-Of-Age-Consumption-for-African-Countries/total_alcohol_per_capita_____15_years_of_age__consumption__litres_of_pure_alcohol_.csv')
-print(df.head())
-```
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.