electricsheepafrica/africa-mali-safeguarding-health-in-conflict-coalition-shcc-data-05fa6cb5

Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (Mali official open data)

987 rows - 1 Africa country - 2018 - 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: Safeguarding Health in Conflict Coalition (SHCC) Data
• Publisher: Insecurity Insight
• Resource: 2018 SHCC Attacks 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	987	2018	2018	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.	53dccce9-51c1-4125-bc9b-bef7604c106b:2018-shcc-reportattacks-data: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.	2018 SHCC ReportAttacks Data
year	Int64	Observation year.	2018
shcc_event_code	string	Source column.	#event +id
country	string	Source column.	#country +name
attack_date	string	Source column.	#date +occurrence
shcc_attack_type	string	Source column.	#event +type
total_health_worker_killed	float64	Source column.	``
total_health_worker_injured	float64	Source column.	``
total_health_worker_kidnapped	float64	Source column.	``
total_health_worker_sexual_violence	string	Source column.	#affected +healthworker +SGBV
total_health_worker_arrested	float64	Source column.	``
number_of_facilities_affected	float64	Source column.	``
total_number_of_attacks_on_facilities_which_reported_des	float64	Source column.	``
total_number_of_attacks_on_facilities_which_reported_dam	float64	Source column.	``
armed_entry_into_medical_facilities	float64	Source column.	``
looting_theft_robbery_burglary_of_health_supplies	float64	Source column.	``
occupation_of_medical_facilities_for_military_use	string	Source column.	#impact +health_facility +occupation +num
health_transportation_destroyed	float64	Source column.	``
health_transportation_damaged	float64	Source column.	``
health_transportation_stolen_highjacked	float64	Source column.	``
perpetrator	string	Source column.	#group +perp +name
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	category	Human-readable period inferred from source resource metadata.	2018
source_provider	category	Publishing organization.	Insecurity Insight
source_dataset	category	Source package title.	Safeguarding Health in Conflict Coalition (SHCC) Data
source_resource	category	Source resource title.	2018 SHCC Attacks Data.xlsx
source_package_id	category	CKAN package UUID.	02995168-3644-4b78-92be-cdf67275b39d
source_resource_id	category	CKAN resource UUID.	53dccce9-51c1-4125-bc9b-bef7604c106b
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/02995168-3644-4b78-92be-cdf67275b39d/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-safeguarding-health-in-conflict-coalition-shcc-data-05fa6cb5")
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_safeguarding_health_in_conflict_coalition_shcc_data_05fa6cb5_2018,
  title        = {Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (Mali official open data)},
  author       = {Insecurity Insight},
  year         = {2018},
  url          = {https://data.humdata.org/dataset/shcchealthcare-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-safeguarding-health-in-conflict-coalition-shcc-data-05fa6cb5}}
}

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/02995168-3644-4b78-92be-cdf67275b39d/resource/53dccce9-51c1-4125-bc9b-bef7604c106b/download/2018-shcc-attacks-data.xlsx