Standardize Electric Sheep Africa dataset card

README.md

@@ -5,74 +5,67 @@ language:
 task_categories:
 - tabular-classification
 - tabular-regression
-- time-series-forecasting
 multilinguality: monolingual
 size_categories:
 - 1K<n<10K
 tags:
-- tabular
-- africa
-- our-world-in-data
-- co2-gdp-growth
-- owid
-- long-run-series
-- time-series
-pretty_name: "Co2 Gdp Growth | Africa (Our World in Data)"
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "economics-finance"
+- "parquet"
+- "tabular"
+- "text"
+- "our-world-in-data"
+- "co2-gdp-growth"
+- "owid"
+- "long-run-series"
+- "time-series"
+- "gdp"
+pretty_name: "Co2 Gdp Growth | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)"
 ---
 
-# Co2 Gdp Growth | Africa (Our World in Data)
+# Co2 Gdp Growth | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
 
-🌍 **4,193 observations** · **54 Africa countries** · **1885–2024** · *Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
+**Size category:** `1K<n<10K` - **Formats:** `parquet` - **Sector:** economics_finance - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
-![rows](https://img.shields.io/badge/rows-4,193-blue) ![countries](https://img.shields.io/badge/countries-54-green) ![years](https://img.shields.io/badge/years-1885–2024-orange) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+![size](https://img.shields.io/badge/size-1K%3Cn%3C10K-blue)
+![sector](https://img.shields.io/badge/sector-economics_finance-green)
+![downloads](https://img.shields.io/badge/HF_downloads-7-orange)
+![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey)
 
 ## TL;DR
 
-This dataset contains **4,193 observations** of `Co2 Gdp Growth` data across **54 Africa countries**, spanning **1885–2024**.
+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.
 
-## About the source
+## What This Dataset Covers
 
-- **Source:** [Our World in Data](https://ourworldindata.org/grapher/co2-gdp-growth)
-- **Publisher:** Our World in Data
-- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
-- **Topic:** Co2 Gdp Growth
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
 
-## Geographic coverage
+Dataset context from the existing Hugging Face card: Co2 Gdp Growth | Africa (Our World in Data) 🌍 4,193 observations · 54 Africa countries · 1885–2024 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 4,193 observations of Co2 Gdp Growth data across 54 Africa countries, spanning 1885–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Co2 Gdp Growth Geographic coverage 54 Africa countries · top rows shown below… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-co2-gdp-growth.
 
-54 Africa countries · top rows shown below, sorted by row count:
+## Dataset Profile
 
-| Country | Rows | First year | Last year |
-|---------|-----:|-----------:|----------:|
-| `ZAF` | 140 | 1885 | 2024 |
-| `ZWE` | 121 | 1904 | 2024 |
-| `EGY` | 113 | 1912 | 2024 |
-| `NGA` | 109 | 1916 | 2024 |
-| `DZA` | 108 | 1917 | 2024 |
-| `COD` | 104 | 1921 | 2024 |
-| `MOZ` | 97 | 1928 | 2024 |
-| `MAR` | 96 | 1929 | 2024 |
-| `TUN` | 94 | 1917 | 2024 |
-| `MDG` | 79 | 1934 | 2024 |
-| `ETH` | 78 | 1942 | 2024 |
-| `GMB` | 74 | 1951 | 2024 |
-| `CMR` | 74 | 1951 | 2024 |
-| `CIV` | 74 | 1951 | 2024 |
-| `GNB` | 74 | 1951 | 2024 |
-| ... | _39 more countries_ | | |
+| Field | Value |
+|---|---|
+| Hugging Face repo | [`electricsheepafrica/africa-owid-co2-gdp-growth`](https://huggingface.co/datasets/electricsheepafrica/africa-owid-co2-gdp-growth) |
+| Sector | economics_finance |
+| Topic tags | tabular, our-world-in-data, co2-gdp-growth, owid, long-run-series, time-series |
+| Modalities | `tabular`, `text` |
+| Formats | `parquet` |
+| Size category | `1K<n<10K` |
+| Countries | Africa-wide or source-defined African coverage |
+| ISO3 coverage | `not declared` |
+| Last modified on HF | `2026-06-02 18:49:49+00:00` |
+| Inventory snapshot | `2026-07-16T16:00:34Z` |
 
-## Schema
+## How To Read This Dataset
 
-| Column | Type | Description | Example |
-|--------|------|-------------|---------|
-| `country_name` | `string` | — | `Algeria` |
-| `country_iso3` | `string` | — | `DZA` |
-| `year` | `int64` | — | `1917` |
-| `GDP` | `float64` | — | `-13.605441` |
-| `CO₂ emissions` | `float64` | — | `100.0` |
-
-## Data quality & caveats
-
-- `GDP` column has 26.1% null values (filtered to non-null in 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
 
@@ -80,48 +73,70 @@ This dataset contains **4,193 observations** of `Co2 Gdp Growth` data across **5
 from datasets import load_dataset
 
 ds = load_dataset("electricsheepafrica/africa-owid-co2-gdp-growth")
-df = ds["train"].to_pandas()
-print(df.head())
+print(ds)
+
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
 ```
 
-### Filter to one country
+### Convert To Pandas When Tabular
 
 ```python
-kenya = df[df["country_iso3"] == "KEN"]
+from datasets import Dataset
+
+first_split = ds[next(iter(ds))]
+if isinstance(first_split, Dataset):
+    df = first_split.to_pandas()
+    print(df.head())
 ```
 
-### Time-series for a single indicator
+## Data Quality Notes
 
-```python
-sample = df.sort_values("year")
-sample.plot(x="year", y="GDP")
-```
+- 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:** Electric Sheep Africa metadata inventory
+- **Publisher/source attribution:** Public dataset metadata
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-owid-co2-gdp-growth](https://huggingface.co/datasets/electricsheepafrica/africa-owid-co2-gdp-growth)
+- **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{africa_owid_co2_gdp_growth_2024,
-  title        = {Co2 Gdp Growth | Africa (Our World in Data)},
-  author       = {Our World in Data},
-  year         = {2024},
-  url          = {https://ourworldindata.org/grapher/co2-gdp-growth},
-  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+@misc{electric_sheep_africa_africa_owid_co2_gdp_growth_2026,
+  title        = {Co2 Gdp Growth | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)},
+  author       = {Public dataset metadata},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-owid-co2-gdp-growth},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
   howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-co2-gdp-growth}}
 }
 ```
 
 ## License
 
-Released under [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/).
-
-Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
 
-## About Electric Sheep
+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.
 
-Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use `load_dataset()` to start working in seconds.
+## About Electric Sheep Africa
 
-Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
 
 ---
 
-_Provenance: ingested 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/co2-gdp-growth_
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.