metadata
license: cc-by-sa-4.0
language:
- en
task_categories:
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- 100K<n<1M
tags:
- tabular
- xlsx
- africa
- mali
- official-statistics
- open-data
- ict
- health
configs:
- config_name: default
data_files:
- split: train
path: data/train-00000-of-00001.parquet
pretty_name: Attacks on Health Care Data | Africa (Mali official open data)
Attacks on Health Care Data | Africa (Mali official open data)
303,728 rows - 1 Africa country - 2024-2026 - 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: Attacks on Health Care Data
- Publisher: Insecurity Insight
- Resource: 2016-2026 Attacks on Health Care Incident Data.xlsx
- Format:
XLSX - License: CC BY-SA
- Packaging mode:
indicator_long
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
MLI |
303,728 | 2024 | 2026 | Mali |
Indicators or Resource Contents
attacks-on-health-care-data-number-of-attacks-on-health-facilities-repor-e4ccac77- Attacks on Health Care Data - number of attacks on health facilities reporting destrucattacks-on-health-care-data-number-of-attacks-on-health-facilities-repor-a1896576- Attacks on Health Care Data - number of attacks on health facilities reporting damagedattacks-on-health-care-data-forceful-entry-into-health-facility-aaee4080- Attacks on Health Care Data - forceful entry into health facilityattacks-on-health-care-data-occupation-of-health-facility-c540e73a- Attacks on Health Care Data - occupation of health facilityattacks-on-health-care-data-vicinity-of-health-facility-affected-e63ab3fd- Attacks on Health Care Data - vicinity of health facility affectedattacks-on-health-care-data-health-transportation-destroyed-65b7bdb7- Attacks on Health Care Data - health transportation destroyedattacks-on-health-care-data-health-transportation-damaged-dde2b736- Attacks on Health Care Data - health transportation damagedattacks-on-health-care-data-health-transportation-stolen-hijacked-e5719d6d- Attacks on Health Care Data - health transportation stolen hijackedattacks-on-health-care-data-health-workers-killed-db6a5cda- Attacks on Health Care Data - health workers killedattacks-on-health-care-data-health-workers-injured-1e410239- Attacks on Health Care Data - health workers injuredattacks-on-health-care-data-health-workers-kidnapped-26174f8b- Attacks on Health Care Data - health workers kidnappedattacks-on-health-care-data-health-workers-arrested-4f5c871b- Attacks on Health Care Data - health workers arrestedattacks-on-health-care-data-health-workers-threatened-166bb0bd- Attacks on Health Care Data - health workers threatenedattacks-on-health-care-data-health-workers-assaulted-81465ff6- Attacks on Health Care Data - health workers assaultedattacks-on-health-care-data-health-workers-sexually-assaulted-11d89be9- Attacks on Health Care Data - health workers sexually assaultedattacks-on-health-care-data-sind-event-id-0deda6ab- Attacks on Health Care Data - sind event id
Schema
| Column | Type | Description | Example |
|---|---|---|---|
indicator_id |
string |
Stable indicator identifier. | attacks-on-health-care-data-number-of-attacks-on-health-facilities-repor |
indicator_name |
string |
Human-readable indicator name. | Attacks on Health Care Data - number of attacks on health facilities rep |
country_iso3 |
string |
ISO3 country code. | MLI |
source_sheet |
string |
Workbook sheet name, when the source is a spreadsheet. | Sheet1 |
country_name |
string |
Country name. | Mali |
year |
Int64 |
Observation year. | 2026 |
value |
float64 |
Numeric observation value. | 0.0 |
unit |
string |
Measurement unit, when available. | source_units_unspecified |
dimension_date |
string |
Source dimension. | 2026-08-04 00:00:00 |
dimension_country |
string |
Source dimension. | DRC |
dimension_country_iso |
string |
Source dimension. | COD |
dimension_admin_1 |
string |
Source dimension. | Ituri |
dimension_geo_precision |
string |
Source dimension. | censored |
dimension_reported_perpetrator |
string |
Source dimension. | Civilian |
dimension_reported_perpetrator_name |
string |
Source dimension. | Youth |
dimension_weapon_carried_used |
string |
Source dimension. | Unspecified Explosive |
dimension_location_of_incident |
string |
Source dimension. | Health Building |
dimension_affects_access_to_medicines_vaccines_and_other |
string |
Source dimension. | False |
dimension_known_kidnapping_or_arrest_outcome |
string |
Source dimension. | `` |
dimension_conflict_related_violence |
string |
Source dimension. | ConflictEvent |
dimension_political_related_violence |
string |
Source dimension. | NotApplicable |
dimension_covid_19_related_violence |
string |
Source dimension. | NotApplicable |
dimension_ebola_related_violence |
string |
Source dimension. | Ebola-related |
dimension_vaccination_related_violence |
string |
Source dimension. | NotApplicable |
dimension_attacks_on_emergency_medical_services |
string |
Source dimension. | NotApplicable |
dimension_polio_related_violence |
string |
Source dimension. | NotApplicable |
dimension_children_s_health_services_affected |
string |
Source dimension. | NotApplicable |
dimension_attacks_on_children_s_hospitals |
string |
Source dimension. | NotApplicable |
dimension_women_s_health_services_affected |
string |
Source dimension. | NotApplicable |
dimension_hospital_utilities_affected |
string |
Source dimension. | NotApplicable |
dimension_date_event_entered |
string |
Source dimension. | 2026-08-05 00:00:00 |
source_period_start_year |
Int64 |
First year inferred from source resource metadata. | 2016 |
source_period_end_year |
Int64 |
Last year inferred from source resource metadata. | 2026 |
source_period_label |
category |
Human-readable period inferred from source resource metadata. | 2016-2026 |
source_provider |
category |
Publishing organization. | Insecurity Insight |
source_dataset |
category |
Source package title. | Attacks on Health Care Data |
source_resource |
category |
Source resource title. | 2016-2026 Attacks on Health Care Incident Data.xlsx |
source_package_id |
category |
CKAN package UUID. | 3777392b-8dc6-4615-ab1d-8ea136075d93 |
source_resource_id |
category |
CKAN resource UUID. | 75933f3d-7b20-437d-8d6e-5aba864124f4 |
source_url |
category |
Original source resource URL. | https://data.humdata.org/dataset/3777392b-8dc6-4615-ab1d-8ea136075d93/re |
license_id |
category |
Source license identifier. | cc-by-sa |
retrieved_at |
category |
UTC retrieval timestamp. | 2026-08-12T23:12:09Z |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-mali-attacks-on-health-care-data-5f769d12")
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_attacks_on_health_care_data_5f769d12_2026,
title = {Attacks on Health Care Data | Africa (Mali official open data)},
author = {Insecurity Insight},
year = {2026},
url = {https://data.humdata.org/dataset/sind-safeguarding-healthcare-monthly-news-briefs-dataset},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-attacks-on-health-care-data-5f769d12}}
}
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/3777392b-8dc6-4615-ab1d-8ea136075d93/resource/75933f3d-7b20-437d-8d6e-5aba864124f4/download/2016-2026-attacks-on-health-care-incident-data.xlsx