electricsheepafrica/africa-mali-mali-malnutrition-21a70a30

Mali: Malnutrition | Africa (Mali official open data)

45 rows - 1 Africa country - 2023 - 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: Mali: Malnutrition
• Publisher: OCHA Mali
• Resource: Mali_Nuttition_Data_Dec_2023
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	45	2023	2023	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.	4d90f3dc-ab58-4cf4-a784-0080758f63b7:sheet1:0
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.	Sheet1
year	Int64	Observation year.	2023
nombre_denfants_filles_et_garcons_de_0_59_mois_malnutris	string	Source column.	Nombre d’enfants (Filles et garcon) de 6 à 59 mois malnutris aigüe modér
d_206749	float64	Source column.	301126.0
d_6695	float64	Source column.	8496.0
d_5728	float64	Source column.	7651.0
d_6223	float64	Source column.	8414.0
d_5356	string	Source column.	7432
d_6820	string	Source column.	9446
d_5839	string	Source column.	8517
d_6515	string	Source column.	8743
d_5676	string	Source column.	7735
d_8697	float64	Source column.	9857.0
d_7255	string	Source column.	8653
d_8741	float64	Source column.	9378.0
d_7345	string	Source column.	8424
d_9807	float64	Source column.	9940.0
d_8205	string	Source column.	8805
d_11230	float64	Source column.	13000.0
d_9546	string	Source column.	11599
d_9918	float64	Source column.	10314.0
d_8545	float64	Source column.	8902.0
d_9564	float64	Source column.	8960.0
d_8312	float64	Source column.	7903.0
d_7926	float64	Source column.	9166.0
d_6967	float64	Source column.	8385.0
d_6912	float64	Source column.	8997.0
d_5787	float64	Source column.	7570.0
d_183609	float64	Source column.	216287.0
d_0_888076846804579	float64	Source column.	0.718260794484701
source_period_start_year	Int64	First year inferred from source resource metadata.	2023
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2023
source_provider	category	Publishing organization.	OCHA Mali
source_dataset	category	Source package title.	Mali: Malnutrition
source_resource	category	Source resource title.	Mali_Nuttition_Data_Dec_2023
source_package_id	category	CKAN package UUID.	a4153057-c63b-41a3-91a5-24c10feffe1f
source_resource_id	category	CKAN resource UUID.	4d90f3dc-ab58-4cf4-a784-0080758f63b7
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/a4153057-c63b-41a3-91a5-24c10feffe1f/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-mali-malnutrition-21a70a30")
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_mali_malnutrition_21a70a30_2023,
  title        = {Mali: Malnutrition | Africa (Mali official open data)},
  author       = {OCHA Mali},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/mali-malnutrition},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-malnutrition-21a70a30}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Mali. 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/a4153057-c63b-41a3-91a5-24c10feffe1f/resource/4d90f3dc-ab58-4cf4-a784-0080758f63b7/download/nuttitioncluster_data_2023-2.xlsx