electricsheepafrica/africa-mali-mali-mli-attacks-on-aid-operations-education-food-and-wate-98992e5f

Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Mali official open data)

66 rows - 1 Africa country - 2023-2025 - 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 (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care
• Publisher: Insecurity Insight
• Resource: 2023-2025 MLI SHCC Health Care Data.xlsx
• Format: XLSX
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	66	2023	2025	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.	01655e60-f3ee-472d-8496-c17e077f2726:2023-2025-mli-shcc-health-care: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.	2023-2025 MLI SHCC Health Care
date	string	Observation date.	#date
country	string	Source column.	#country +name
country_iso	string	Source column.	#country +ISO
latitude	string	Source column.	#lat
longitude	string	Source column.	#long
geo_precision	string	Source column.	``
reported_perpetrator	string	Source column.	#group +perp
reported_perpetrator_name	string	Source column.	#group +perp +name
weapon_carried_used	string	Source column.	#weapon
number_of_attacks_on_health_facilities_reporting_destruc	float64	Source column.	``
number_of_attacks_on_health_facilities_reporting_damaged	float64	Source column.	``
forceful_entry_into_health_facility	float64	Source column.	``
occupation_of_health_facility	float64	Source column.	``
vicinity_of_health_facility_affected	float64	Source column.	``
health_transportation_destroyed	float64	Source column.	``
health_transportation_damaged	float64	Source column.	``
health_transportation_stolen_hijacked	float64	Source column.	``
looting_theft_robbery_burglary_of_health_supplies	float64	Source column.	``
access_denied_or_obstructed	string	Source column.	#indicator +health_obstruction
health_workers_killed	float64	Source column.	``
health_workers_injured	float64	Source column.	``
health_workers_kidnapped	float64	Source column.	``
health_workers_arrested	float64	Source column.	``
event_id	float64	Source column.	``
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.	2025
source_period_label	category	Human-readable period inferred from source resource metadata.	2023-2025
source_provider	category	Publishing organization.	Insecurity Insight
source_dataset	category	Source package title.	Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems
source_resource	category	Source resource title.	2023-2025 MLI SHCC Health Care Data.xlsx
source_package_id	category	CKAN package UUID.	b1b2912c-b004-47de-83e3-80d022638a02
source_resource_id	category	CKAN resource UUID.	01655e60-f3ee-472d-8496-c17e077f2726
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/b1b2912c-b004-47de-83e3-80d022638a02/re
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-12T23:12:09Z
citation	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-mali-mli-attacks-on-aid-operations-education-food-and-wate-98992e5f")
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_mli_attacks_on_aid_operations_education_food_and_wate_98992e5f_2025,
  title        = {Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Mali official open data)},
  author       = {Insecurity Insight},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/mali-violence-against-civilians-and-vital-civilian-facilities},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-mli-attacks-on-aid-operations-education-food-and-wate-98992e5f}}
}

License

Released under CC BY-SA.

Original data (c) Insecurity Insight. 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/b1b2912c-b004-47de-83e3-80d022638a02/resource/01655e60-f3ee-472d-8496-c17e077f2726/download/2023-2025-mli-shcc-health-care-data.xlsx