Standardize Electric Sheep Africa dataset card

README.md

@@ -1,43 +1,139 @@
 ---
-license: gpl
+license: other
 language:
 - en
-tags:
-- population
-- africa
-- biology
-- urban
-- climate
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
 size_categories:
-- 1K<n<10K
+- n<1K
+tags:
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "climate-environment"
+- "csv"
+- "tabular"
+- "population"
+- "biology"
+- "urban"
+- "climate"
+pretty_name: "Urban population as percentage of total population | Africa (World Bank)"
 ---
-# Africa: Urban population (% of total population)
-
-## Dataset summary
-- This dataset provides values for "Urban population (% of total population)" across African countries, standardized and made ML-ready.
-- Geographic scope: 54 African countries.
-- Temporal coverage: 1960–2024 (annual).
-- Units: As defined by the World Bank indicator.
-
-## Source & licensing
-- Source: World Bank – World Development Indicators (WDI), Indicator code: `SP.URB.TOTL.IN.ZS`.
-- License: World Bank Open Data terms. Users are responsible for compliance with the World Bank Data Terms of Use.
-
-## Intended uses
-- Cross-country analyses and visualization related to urban development and environmental indicators.
-- As an input feature for ML models in development, urbanization, and environmental domains.
-- Educational and exploratory data analysis.
-
-Use with caution for early years and countries with imputed values.
-
-## Processing summary
-Missing values in the pivot were handled via:
-- Linear interpolation along years (`limit_direction="both"`)
-- Forward fill
-- Backward fill
-Countries with no observations across all years remain entirely NaN.
-
-## Coverage and data quality notes
-- Earliest non-missing observation (across all countries): 1960.
-- Countries with no observations (all NaN in pivot):
-  - (none).
+
+# Urban population as percentage of total population | Africa (World Bank)
+
+**Size category:** `n<1K` - **Formats:** `csv` - **Sector:** climate_environment - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
+
+![size](https://img.shields.io/badge/size-n%3C1K-blue)
+![sector](https://img.shields.io/badge/sector-climate_environment-green)
+![downloads](https://img.shields.io/badge/HF_downloads-23-orange)
+![license](https://img.shields.io/badge/license-other-lightgrey)
+
+## TL;DR
+
+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
+
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
+
+Dataset context from the existing Hugging Face card: Africa: Urban population (% of total population) Dataset summary This dataset provides values for "Urban population (% of total population)" across African countries, standardized and made ML-ready. Geographic scope: 54 African countries. Temporal coverage: 1960–2024 (annual). Units: As defined by the World Bank indicator. Source & licensing Source: World Bank – World Development Indicators (WDI), Indicator code: SP.URB.TOTL.IN.ZS. License: World Bank Open… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Urban-population-as-percentage-of-total-population.
+
+## Dataset Profile
+
+| Field | Value |
+|---|---|
+| Hugging Face repo | [`electricsheepafrica/Urban-population-as-percentage-of-total-population`](https://huggingface.co/datasets/electricsheepafrica/Urban-population-as-percentage-of-total-population) |
+| Sector | climate_environment |
+| Topic tags | population, biology, urban, climate |
+| Modalities | `tabular` |
+| Formats | `csv` |
+| Size category | `n<1K` |
+| Countries | Africa-wide or source-defined African coverage |
+| ISO3 coverage | `not declared` |
+| Last modified on HF | `2025-08-16 17:34:06+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/Urban-population-as-percentage-of-total-population")
+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.
+- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
+
+## Source And Provenance
+
+- **Source context:** World Bank
+- **Publisher/source attribution:** World Bank open data
+- **License:** gpl
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/Urban-population-as-percentage-of-total-population](https://huggingface.co/datasets/electricsheepafrica/Urban-population-as-percentage-of-total-population)
+- **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_urban_population_as_percentage_of_total_population_2026,
+  title        = {Urban population as percentage of total population | Africa (World Bank)},
+  author       = {World Bank open data},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/Urban-population-as-percentage-of-total-population},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/Urban-population-as-percentage-of-total-population}}
+}
+```
+
+## License
+
+Released under gpl.
+
+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`.