Standardize Electric Sheep Africa dataset card

README.md

@@ -1,18 +1,137 @@
-# Under-five mortality rate (SDG 3.2.1) (per 1000 live births)
+---
+license: other
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
+tags:
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "health"
+- "csv"
+- "tabular"
+- "text"
+- "mortality"
+pretty_name: "Under Five Mortality Rateby Sex for African Countries | Africa (World Health Organization)"
+---
 
-## Dataset Description
-This dataset provides information on **'Under-five mortality rate'** for countries in the WHO African Region. The data is disaggregated by the **'Sex'** dimension, allowing for analysis of health inequalities across different population subgroups.
+# Under Five Mortality Rateby Sex for African Countries | Africa (World Health Organization)
 
-**Units:** SDG 3.2.1
+**Size category:** `n<1K` - **Formats:** `csv` - **Sector:** health - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
-## Dimensions and Subgroups
-- **Dimension:** `Sex`
-- **Available Subgroups:** `Female, Male`
+![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-16-orange)
+![license](https://img.shields.io/badge/license-other-lightgrey)
 
-## Data Structure
-The dataset is in a wide format.
-- **Index:** `Year` (formatted as YYYY-01-01)
-- **Columns:** Each column represents a specific country and subgroup, formatted as `country-name_subgroup-name`. For example, `algeria_female`.
-- **Values:** The cell values represent the estimated measurement for that indicator, country, subgroup, and year.
+## TL;DR
 
-This dataset is part of a larger collection of health inequality indicators processed from the WHO Health Inequality Data Repository.
+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.
+
+## 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: Under-five mortality rate (SDG 3.2.1) (per 1000 live births) Dataset Description This dataset provides information on 'Under-five mortality rate' for countries in the WHO African Region. The data is disaggregated by the 'Sex' dimension, allowing for analysis of health inequalities across different population subgroups. Units: SDG 3.2.1 Dimensions and Subgroups Dimension: Sex Available Subgroups: Female, Male Data Structure The dataset is in a wide… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/under-five-mortality-rateby-sex-for-african-countries.
+
+## Dataset Profile
+
+| Field | Value |
+|---|---|
+| Hugging Face repo | [`electricsheepafrica/under-five-mortality-rateby-sex-for-african-countries`](https://huggingface.co/datasets/electricsheepafrica/under-five-mortality-rateby-sex-for-african-countries) |
+| Sector | health |
+| Topic tags | health |
+| 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 | `2025-06-24 07:44:15+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
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/under-five-mortality-rateby-sex-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, license, 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:** Source-specific or other license
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/under-five-mortality-rateby-sex-for-african-countries](https://huggingface.co/datasets/electricsheepafrica/under-five-mortality-rateby-sex-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_under_five_mortality_rateby_sex_for_african_countries_2026,
+  title        = {Under Five Mortality Rateby Sex for African Countries | Africa (World Health Organization)},
+  author       = {WHO public data},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/under-five-mortality-rateby-sex-for-african-countries},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/under-five-mortality-rateby-sex-for-african-countries}}
+}
+```
+
+## License
+
+Released under Source-specific or other license.
+
+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.
+
+---
+
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.