Standardize Electric Sheep Africa dataset card
Browse files
README.md
CHANGED
|
@@ -5,80 +5,69 @@ language:
|
|
| 5 |
task_categories:
|
| 6 |
- tabular-classification
|
| 7 |
- tabular-regression
|
| 8 |
-
- time-series-forecasting
|
| 9 |
multilinguality: monolingual
|
| 10 |
size_categories:
|
| 11 |
- 1K<n<10K
|
| 12 |
tags:
|
| 13 |
-
-
|
| 14 |
-
- africa
|
| 15 |
-
-
|
| 16 |
-
-
|
| 17 |
-
-
|
| 18 |
-
-
|
| 19 |
-
-
|
| 20 |
-
-
|
| 21 |
-
-
|
| 22 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
---
|
| 24 |
|
| 25 |
-
# Emissions from Forests — Area | Africa (FAOSTAT)
|
| 26 |
|
| 27 |
-
|
| 28 |
|
| 29 |
-
*
|
| 34 |
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
|
| 39 |
|
| 40 |
## TL;DR
|
| 41 |
|
| 42 |
+
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.
|
| 43 |
+
|
| 44 |
+
## What This Dataset Covers
|
| 45 |
+
|
| 46 |
+
Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
|
| 47 |
+
|
| 48 |
+
Dataset context from the existing Hugging Face card: Emissions from Forests — Area | Africa (FAOSTAT) 🌍 6,115 observations · 54 Africa countries · 1990–2025 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 6,115 observations of Climate Change data across 54 Africa countries, spanning 1990–2025, covering 3 distinct indicators. About the source Source: FAOSTAT (FAO) Publisher: Food and Agriculture Organization of the United Nations (FAO) License: cc-by-4.0 Topic: Climate Change… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area.
|
| 49 |
+
|
| 50 |
+
## Dataset Profile
|
| 51 |
+
|
| 52 |
+
| Field | Value |
|
| 53 |
+
|---|---|
|
| 54 |
+
| Hugging Face repo | [`electricsheepafrica/africa-emissions-from-forests-area`](https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area) |
|
| 55 |
+
| Sector | agriculture_food |
|
| 56 |
+
| Topic tags | tabular, faostat-(fao), climate-change, faostat, fao, agriculture, food-security, time-series |
|
| 57 |
+
| Modalities | `tabular`, `text` |
|
| 58 |
+
| Formats | `parquet` |
|
| 59 |
+
| Size category | `1K<n<10K` |
|
| 60 |
+
| Countries | Africa-wide or source-defined African coverage |
|
| 61 |
+
| ISO3 coverage | `not declared` |
|
| 62 |
+
| Last modified on HF | `2026-06-17 13:12:05+00:00` |
|
| 63 |
+
| Inventory snapshot | `2026-07-16T16:00:34Z` |
|
| 64 |
+
|
| 65 |
+
## How To Read This Dataset
|
| 66 |
+
|
| 67 |
+
- Start from the repository files and the dataset viewer when available.
|
| 68 |
+
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
|
| 69 |
+
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
|
| 70 |
+
- Preserve missing values until you have a defensible imputation rule.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
|
| 72 |
## Usage
|
| 73 |
|
|
|
|
| 75 |
from datasets import load_dataset
|
| 76 |
|
| 77 |
ds = load_dataset("electricsheepafrica/africa-emissions-from-forests-area")
|
| 78 |
+
print(ds)
|
| 79 |
+
|
| 80 |
+
split_name = next(iter(ds))
|
| 81 |
+
table = ds[split_name]
|
| 82 |
+
print(table.features)
|
| 83 |
+
print(table[:3])
|
| 84 |
```
|
| 85 |
|
| 86 |
+
### Convert To Pandas When Tabular
|
| 87 |
|
| 88 |
```python
|
| 89 |
+
from datasets import Dataset
|
| 90 |
+
|
| 91 |
+
first_split = ds[next(iter(ds))]
|
| 92 |
+
if isinstance(first_split, Dataset):
|
| 93 |
+
df = first_split.to_pandas()
|
| 94 |
+
print(df.head())
|
| 95 |
```
|
| 96 |
|
| 97 |
+
## Data Quality Notes
|
| 98 |
|
| 99 |
+
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
|
| 100 |
+
- Exact schema, row counts, and source files should be inspected in the repository data files.
|
| 101 |
+
- Metadata gaps from the inventory: country, upstream_publisher.
|
| 102 |
+
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
|
|
|
|
| 103 |
|
| 104 |
+
## Source And Provenance
|
| 105 |
|
| 106 |
+
- **Source context:** Electric Sheep Africa metadata inventory
|
| 107 |
+
- **Publisher/source attribution:** Public dataset metadata
|
| 108 |
+
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
|
| 109 |
+
- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area](https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area)
|
| 110 |
+
- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
|
| 111 |
+
|
| 112 |
+
## Suggested Analyses
|
| 113 |
+
|
| 114 |
+
- Inspect schema and missingness before modeling.
|
| 115 |
+
- Profile variables by geography, time, and subgroup columns where present.
|
| 116 |
+
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
|
| 117 |
+
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
|
| 118 |
|
| 119 |
## Citation
|
| 120 |
|
| 121 |
```bibtex
|
| 122 |
+
@misc{electric_sheep_africa_africa_emissions_from_forests_area_2026,
|
| 123 |
+
title = {Emissions from Forests — Area | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)},
|
| 124 |
+
author = {Public dataset metadata},
|
| 125 |
+
year = {2026},
|
| 126 |
+
url = {https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area},
|
| 127 |
+
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
|
| 128 |
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area}}
|
| 129 |
}
|
| 130 |
```
|
| 131 |
|
| 132 |
## License
|
| 133 |
|
| 134 |
+
Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
|
|
|
|
|
|
|
| 135 |
|
| 136 |
+
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.
|
| 137 |
|
| 138 |
+
## About Electric Sheep Africa
|
| 139 |
|
| 140 |
+
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
|
| 141 |
|
| 142 |
---
|
| 143 |
|
| 144 |
+
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.
|