electricsheepafrica/africa-mauritania-adult-illiteracy-rate-taux-d-analphabetisme-des-adultes-44628692

Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% ) | Africa (Mauritania official open data)

55 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Mauritania as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
• Publisher: United Nations Economic Commission for Africa
• Resource: Adult literacy.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MRT	55	n/a	n/a	Mauritania

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	94c40c1a-e800-423e-bc2d-01a264a5ed0f:sheet1:0
country_iso3	category	ISO3 country code.	MRT
country_name	category	Country name.	Mauritania
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet1
algeria	string	Source column.	Angola
d_30_13	string	Source column.	32.59
d_20_43	string	Source column.	17.08
d_39_92	string	Source column.	45.81
d_27_35	string	Source column.	...
d_18_72	string	Source column.	...
d_36_08	string	Source column.	...
d_19_8	float64	Source column.	29.04
d_12_83	float64	Source column.	17.85
d_26_87	float64	Source column.	39.82
algerie	string	Source column.	Angola
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	United Nations Economic Commission for Africa
source_dataset	category	Source package title.	Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
source_resource	category	Source resource title.	Adult literacy.xlsx
source_package_id	category	CKAN package UUID.	6dc29b21-61a5-4e8b-8af2-188e4c7b22dd
source_resource_id	category	CKAN resource UUID.	94c40c1a-e800-423e-bc2d-01a264a5ed0f
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/6dc29b21-61a5-4e8b-8af2-188e4c7b22dd/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-18T00:06:00Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritania-adult-illiteracy-rate-taux-d-analphabetisme-des-adultes-44628692")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MRT"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_mauritania_adult_illiteracy_rate_taux_d_analphabetisme_des_adultes_446286_2026,
  title        = {Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% ) | Africa (Mauritania official open data)},
  author       = {United Nations Economic Commission for Africa},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/adult-illiteracy-rate-taux-d-analphabetisme-des-adultes},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritania-adult-illiteracy-rate-taux-d-analphabetisme-des-adultes-44628692}}
}

License

Released under CC BY 4.0.

Original data (c) United Nations Economic Commission for Africa. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. 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.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-18 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/6dc29b21-61a5-4e8b-8af2-188e4c7b22dd/resource/94c40c1a-e800-423e-bc2d-01a264a5ed0f/download/adult-litracy.xlsx