electricsheepafrica/africa-mali-west-and-central-africa-agencies-location-26144758

West and Central Africa - Agencies location | Africa (Mali official open data)

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

TL;DR

This dataset packages one official XLSX resource from Mali 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: West and Central Africa - Agencies location
• Publisher: OCHA West and Central Africa (ROWCA)
• Resource: WCA UN agencies location.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	586	n/a	n/a	Mali

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.	3ce474ea-8a18-4909-929f-131ac883acf8:sheet4:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet4
latitude	float64	Source column.	``
longitude	float64	Source column.	``
name	string	Source column.	#loc +name
type	string	Source column.	#org +type
agence	string	Source column.	#org +name
cluster	string	Source column.	#sector
admin0name	string	Source column.	#country +name
admin0pcod	string	Source column.	#country +code
admin1name	string	Source column.	#adm1 +name
admin2name	string	Source column.	#adm2 +name
admin1pcod	string	Source column.	#adm1 +code
admin2pcod	string	Source column.	#adm2 +code
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.	OCHA West and Central Africa (ROWCA)
source_dataset	category	Source package title.	West and Central Africa - Agencies location
source_resource	category	Source resource title.	WCA UN agencies location.xlsx
source_package_id	category	CKAN package UUID.	68f44afc-b3d9-4378-9dbc-4aec85d9de83
source_resource_id	category	CKAN resource UUID.	3ce474ea-8a18-4909-929f-131ac883acf8
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/68f44afc-b3d9-4378-9dbc-4aec85d9de83/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-13T10:40:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-west-and-central-africa-agencies-location-26144758")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_west_and_central_africa_agencies_location_26144758_2026,
  title        = {West and Central Africa - Agencies location | Africa (Mali official open data)},
  author       = {OCHA West and Central Africa (ROWCA)},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/wca-agencies-location},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-west-and-central-africa-agencies-location-26144758}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA West and Central Africa (ROWCA). 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/68f44afc-b3d9-4378-9dbc-4aec85d9de83/resource/3ce474ea-8a18-4909-929f-131ac883acf8/download/wca-un-agencies-location.xlsx