electricsheepafrica/africa-sudan-sudan-languages-0f425377

Sudan: Languages | Africa (Sudan official open data)

20 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Sudan 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: Sudan: Languages
• Publisher: CLEAR Global (previously Translators without Borders)
• Resource: clearglobal_language_use_SDN_admin0.csv
• Format: CSV
• License: CC BY-SA
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SDN	20	2023	2023	Sudan

Indicators or Resource Contents

• sudan-languages-location-level-07709f93 - Sudan: Languages - location level
• sudan-languages-language-rank-63ddab75 - Sudan: Languages - language rank
• sudan-languages-proportion-value-f5cadf3e - Sudan: Languages - proportion value
• sudan-languages-reliability-score-37ee6391 - Sudan: Languages - reliability score

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	sudan-languages-location-level-07709f93
indicator_name	string	Human-readable indicator name.	Sudan: Languages - location level
country_iso3	string	ISO3 country code.	SDN
country_name	string	Country name.	Sudan
date	string	Observation date.	2023-12-01
year	Int64	Observation year.	2023
value	float64	Numeric observation value.	0.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_location_code	string	Source dimension.	SDN
dimension_location_name	string	Source dimension.	Sudan
dimension_language_code	string	Source dimension.	stan1293
dimension_language_name	string	Source dimension.	English
dimension_dataset_name	string	Source dimension.	Sudan Round 9 data (2022)
dimension_url	string	Source dimension.	https://www.afrobarometer.org/wp-content/uploads/2024/02/SUD_R9.data_.fi
dimension_source	string	Source dimension.	AfroBarometer
dimension_date_creation	string	Source dimension.	02-13-2025 13:37:53
dimension_representivity_rating	string	Source dimension.	moderate
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.	CLEAR Global (previously Translators without Borders)
source_dataset	category	Source package title.	Sudan: Languages
source_resource	category	Source resource title.	clearglobal_language_use_SDN_admin0.csv
source_package_id	category	CKAN package UUID.	898704eb-4465-4395-9a76-6b142d35177d
source_resource_id	category	CKAN resource UUID.	99b1f791-c79c-4495-bb05-e8ccf4478576
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/898704eb-4465-4395-9a76-6b142d35177d/re
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-19T06:27:19Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sudan-sudan-languages-0f425377")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SDN"]

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_sudan_sudan_languages_0f425377_2023,
  title        = {Sudan: Languages | Africa (Sudan official open data)},
  author       = {CLEAR Global (previously Translators without Borders)},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/sudan-languages},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-languages-0f425377}}
}

License

Released under CC BY-SA.

Original data (c) CLEAR Global (previously Translators without Borders). 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 2026-08-19 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/898704eb-4465-4395-9a76-6b142d35177d/resource/99b1f791-c79c-4495-bb05-e8ccf4478576/download/clearglobal_language_use_sdn_admin0.csv