Standardize Electric Sheep Africa dataset card

README.md

@@ -1,67 +1,140 @@
 ---
-license: gpl
+license: other
 language:
 - en
-tags:
-- africa
-- construction
-- industry
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
 size_categories:
-- 1K<n<10K
+- n<1K
+tags:
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "economics-finance"
+- "csv"
+- "tabular"
+- "text"
+- "construction"
+- "industry"
+- "economy"
+- "gdp"
+pretty_name: "Africa Industry Including Construction Value Added Percentage of Gdp | Africa (World Bank)"
 ---
-# Africa Industry Including Construction Value Added Percentage of Gdp Dataset
 
-## Overview
-This dataset contains industry (including construction), value added (% of gdp) data for African countries from the World Bank Economy & Growth indicators.
+# Africa Industry Including Construction Value Added Percentage of Gdp | Africa (World Bank)
+
+**Size category:** `n<1K` - **Formats:** `csv` - **Sector:** economics_finance - *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-economics_finance-green)
+![downloads](https://img.shields.io/badge/HF_downloads-196-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
 
-## Data Details
-- **Indicator Code**: NV.IND.TOTL.ZS
-- **Description**: Industry (including construction), value added (% of GDP)
-- **Geographic Coverage**: 54 African countries
-- **Time Period**: 1960-2024
-- **Data Points**: 3,510 observations
-- **Coverage**: 100.00% of possible country-year combinations
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
 
-## File Formats
+Dataset context from the existing Hugging Face card: Africa Industry Including Construction Value Added Percentage of Gdp Dataset Overview This dataset contains industry (including construction), value added (% of gdp) data for African countries from the World Bank Economy & Growth indicators. Data Details Indicator Code: NV.IND.TOTL.ZS Description: Industry (including construction), value added (% of GDP) Geographic Coverage: 54 African countries Time Period: 1960-2024 Data Points: 3,510 observations Coverage:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp.
 
-### Main Dataset (`Africa-Industry-Including-Construction-Value-Added-Percentage-of-Gdp.csv`)
-- **Rows**: 54 countries
-- **Columns**: 65 years (1960-2024)
-- **Structure**: Countries as rows, years as columns
-- **Missing Value Treatment**: Interpolation → Forward Fill → Backward Fill
-- **Use Case**: Cross-sectional analysis, heatmaps, correlation analysis
+## Dataset Profile
 
-## Data Quality
+| Field | Value |
+|---|---|
+| Hugging Face repo | [`electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp`](https://huggingface.co/datasets/electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp) |
+| Sector | economics_finance |
+| Topic tags | construction, industry |
+| 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 | `2025-09-04 11:37:11+00:00` |
+| Inventory snapshot | `2026-07-16T16:00:34Z` |
 
-### Coverage Statistics
-- **Total Observations**: 3,510
-- **Possible Observations**: 3,510
-- **Coverage Rate**: 100.00%
+## How To Read This Dataset
 
-### Countries with No Data
-0 countries have no observations:
-None
+- 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 Examples
+## Usage
 
-### Python
 ```python
-import pandas as pd
+from datasets import load_dataset
 
-# Load main dataset
-df = pd.read_csv('Africa-Industry-Including-Construction-Value-Added-Percentage-of-Gdp.csv', index_col=[0, 1])
+ds = load_dataset("electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp")
+print(ds)
+
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
 ```
 
-### R
-```r
-# Load main dataset
-df <- read.csv('Africa-Industry-Including-Construction-Value-Added-Percentage-of-Gdp.csv', row.names=c(1,2))
+### 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())
 ```
 
-## Source
-World Bank Open Data - Economy & Growth
-- **Original File**: API_NV.IND.TOTL.ZS_DS2_en_excel_v2_557244.xls
-- **Processed**: 2025-09-04
+## 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/africa-industry-including-construction-value-added-percentage-of-gdp](https://huggingface.co/datasets/electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp)
+- **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_africa_industry_including_construction_value_added_percentage_of_gdp_2026,
+  title        = {Africa Industry Including Construction Value Added Percentage of Gdp | Africa (World Bank)},
+  author       = {World Bank open data},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-industry-including-construction-value-added-percentage-of-gdp}}
+}
+```
 
 ## License
-This dataset is derived from World Bank Open Data and is available under the Creative Commons Attribution 4.0 International 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`.