electricsheepafrica/africa-global-freedom-freedom-in-the-world-2022

Global Freedom; Freedom in the world 2022

Publisher: Freedom House · Source: OpenAfrica · License: cc-by · Updated: 2023-01-24

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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.

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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

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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.

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Quick Start

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()

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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

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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

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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.

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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 for the publisher's own methodology notes and caveats.

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Citation

@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)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.