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electricsheepafrica/africa-mali-mali-mli-attacks-on-aid-operations-education-food-and-wate-4e8d2884

Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Mali official open data) 111 rows - 1 Africa country - 2025-2026 - 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:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-mli-attacks-on-aid-operations-education-food-and-wate-4e8d2884.

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Dataset Card

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

111 rows - 1 Africa country - 2025-2026 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
MLI11120252026Mali

Indicators or Resource Contents

  • —mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-f926d6da - Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - number of attacks damaging destroying water infrastructu
  • —mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-2f802dae - Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - number of attacks where water infrastructure was contami
  • —mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-00692cd3 - Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - number of attacks where water infrastructure was looted
  • —mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-d6b0e10f - Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - number of attacks where water infrastructure was disrupt
  • —mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-eb87b288 - Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - take over of water infrastructure
  • —mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-bdca2810 - Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - sind event id

Schema

ColumnTypeDescriptionExample
indicator_idstringStable indicator identifier.mali-mli-attacks-on-aid-operations-education-food-and-water-systems-and-
indicator_namestringHuman-readable indicator name.Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems
country_iso3stringISO3 country code.MLI
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Sheet1
country_namestringCountry name.Mali
yearInt64Observation year.2026
valuefloat64Numeric observation value.1.0
unitstringMeasurement unit, when available.source_units_unspecified
dimension_datestringSource dimension.2026-06-21 00:00:00
dimension_countrystringSource dimension.Mali
dimension_country_isostringSource dimension.MLI
dimension_admin_1stringSource dimension.Kidal
dimension_geo_precisionstringSource dimension.censored
dimension_reported_perpetratorstringSource dimension.Multiple
dimension_reported_perpetrator_namestringSource dimension.Mali Armed Forces, Russian Africa Corps
dimension_weapon_carried_usedstringSource dimension.No Information on the Weapon Used
dimension_water_infrastructure_category_affectedstringSource dimension.Multi Purpose/Function Infrastructure
dimension_attacks_on_persons_collecting_waterstringSource dimension.``
dimension_number_of_incidents_affecting_water_related_aistringSource dimension.``
dimension_date_event_enteredstringSource dimension.2026-07-08 00:00:00
source_period_start_yearInt64First year inferred from source resource metadata.2024
source_period_end_yearInt64Last year inferred from source resource metadata.2026
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2024-2026
source_providercategoryPublishing organization.Insecurity Insight
source_datasetcategorySource package title.Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems
source_resourcecategorySource resource title.2025-2026 MLI Conflict-Related Incidents Affecting Water Systems Inciden
source_package_idcategoryCKAN package UUID.b1b2912c-b004-47de-83e3-80d022638a02
source_resource_idcategoryCKAN resource UUID.03231ba4-8a8a-4beb-8175-4e237783e010
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/b1b2912c-b004-47de-83e3-80d022638a02/re
license_idcategorySource license identifier.cc-by-sa
retrieved_atcategoryUTC retrieval timestamp.2026-08-12T23:12:09Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-mali-mli-attacks-on-aid-operations-education-food-and-wate-4e8d2884")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Work with indicators

python
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

bibtex
@misc{electric_sheep_africa_africa_mali_mali_mli_attacks_on_aid_operations_education_food_and_wate_4e8d2884_2026,
  title        = {Mali (MLI): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Mali official open data)},
  author       = {Insecurity Insight},
  year         = {2026},
  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-4e8d2884}}
}

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


Provenance: ingested 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/b1b2912c-b004-47de-83e3-80d022638a02/resource/03231ba4-8a8a-4beb-8175-4e237783e010/download/2025-2026-mli-conflict-related-incidents-affecting-water-systems-incident-data.xlsx