Add README.md

README.md

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 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+license: cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- tabular-classification
+- tabular-regression
+task_ids: []
+tags:
+- africa
+- humanitarian
+- hdx
+- electric-sheep-africa
+- democratic-culture
+- benin
+- botswana
+- cape-verde
+- ethiopia
+- kenya
+pretty_name: "Global Freedom; Freedom in the world 2022"
 dataset_info:
-  features:
-  - name: freedom_scores_2013_2022
-    dtype: string
-  - name: unnamed_1
-    dtype: float64
-  - name: unnamed_2
-    dtype: float64
-  - name: unnamed_3
-    dtype: float64
-  - name: unnamed_4
-    dtype: float64
-  - name: unnamed_5
-    dtype: string
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 6930
-    num_examples: 90
-  - name: test
-    num_bytes: 1772
-    num_examples: 23
-  download_size: 8568
-  dataset_size: 8702
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 90
+    - name: test
+      num_examples: 22
 ---
+
+# Global Freedom; Freedom in the world 2022
+
+**Publisher:** Freedom House · **Source:** [OpenAfrica](https://open.africa/dataset/global-freedom-freedom-in-the-world-2022) · **License:** `cc-by` · **Updated:** 2023-01-24
+
+---
+
+## Abstract
+
+Individual freedoms—ranging from the right to vote to freedom of expression and equality before the law—can be affected by state or nonstate actors. Scores are based on a scale of 0 (Not Free) to 100 (Free)
+
+Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-01-24. Geographic scope: **BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 4 others**.
+
+*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
+
+---
+
+## Dataset Characteristics
+
+| | |
+|---|---|
+| **Domain** | Humanitarian and development data |
+| **Unit of observation** | Tabular records |
+| **Rows (total)** | 113 |
+| **Columns** | 8 (4 numeric, 4 categorical, 0 datetime) |
+| **Train split** | 90 rows |
+| **Test split** | 22 rows |
+| **Geographic scope** | BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 4 others |
+| **Publisher** | Freedom House |
+| **OpenAfrica last updated** | 2023-01-24 |
+
+---
+
+## Variables
+
+**Outcome / Measurement** — `freedom_scores_2013_2022` (Benin, Botswana, Cabo Verde).
+
+**Identifier / Metadata** — `unnamed_1` (range 2013.0–2022.0), `unnamed_2` (range 0.0–38.0), `unnamed_3` (range 4.0–54.0), `unnamed_4` (range 6.0–92.0), `unnamed_5` (Partly Free, Free, Not Free) and 2 others.
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-global-freedom-freedom-in-the-world-2022")
+train = ds["train"].to_pandas()
+test  = ds["test"].to_pandas()
+
+print(train.shape)
+train.head()
+```
+
+---
+
+## Schema
+
+| Column | Type | Null % | Range / Sample Values |
+|---|---|---|---|
+| `freedom_scores_2013_2022` | object | 0.9% | Benin, Botswana, Cabo Verde |
+| `unnamed_1` | float64 | 2.7% | 2013.0 – 2022.0 (mean 2017.5) |
+| `unnamed_2` | float64 | 2.7% | 0.0 – 38.0 (mean 23.1818) |
+| `unnamed_3` | float64 | 2.7% | 4.0 – 54.0 (mean 33.5818) |
+| `unnamed_4` | float64 | 2.7% | 6.0 – 92.0 (mean 56.7636) |
+| `unnamed_5` | object | 1.8% | Partly Free, Free, Not Free |
+| `esa_source` | object | 0.0% | HDX |
+| `esa_processed` | object | 0.0% | 2026-04-28 |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `unnamed_1` | 2013.0 | 2022.0 | 2017.5 | 2017.5 |
+| `unnamed_2` | 0.0 | 38.0 | 23.1818 | 25.0 |
+| `unnamed_3` | 4.0 | 54.0 | 33.5818 | 34.0 |
+| `unnamed_4` | 6.0 | 92.0 | 56.7636 | 60.0 |
+
+---
+
+## Curation
+
+Raw data was downloaded from OpenAfrica via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 4 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
+
+---
+
+## Limitations
+
+- Data originates from Freedom House and has not been independently validated by ESA.
+- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
+- This dataset spans 12 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
+- Refer to the [original HDX dataset page](https://open.africa/dataset/global-freedom-freedom-in-the-world-2022) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{openafrica_africa_global_freedom_freedom_in_the_world_2022,
+  title     = {Global Freedom; Freedom in the world 2022},
+  author    = {Freedom House},
+  year      = {2023},
+  url       = {https://open.africa/dataset/global-freedom-freedom-in-the-world-2022},
+  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
+}
+```
+
+---
+
+*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*