electricsheepafrica/africa-mali-protection-in-danger-data-3f3019fe

Protection in Danger Data | Africa (Mali official open data)

1,593 rows - 1 Africa country - 2020-2026 - 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: Protection in Danger Data
• Publisher: Insecurity Insight
• Resource: 2020-2026 Protection in Danger Overview 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	1,593	2020	2026	Mali

Indicators or Resource Contents

• protection-in-danger-data-number-of-events-e1bf2bb3 - Protection in Danger Data - number of events
• protection-in-danger-data-number-of-incidents-involving-state-perpetrato-0aaaae43 - Protection in Danger Data - number of incidents involving state perpetrators
• protection-in-danger-data-number-of-incidents-involving-non-state-perpet-eb0a8071 - Protection in Danger Data - number of incidents involving non state perpetrators
• protection-in-danger-data-number-of-events-involving-shelling-airstrikes-947e120e - Protection in Danger Data - number of events involving shelling airstrikes
• protection-in-danger-data-number-of-events-involving-firearms-d8939d17 - Protection in Danger Data - number of events involving firearms
• protection-in-danger-data-number-of-events-involving-arson-e2e561c2 - Protection in Danger Data - number of events involving arson
• protection-in-danger-data-total-number-of-camp-infastructure-damaged-des-32295834 - Protection in Danger Data - total number of camp infastructure damaged destroyed
• protection-in-danger-data-total-number-of-camp-residents-killed-4b2423f1 - Protection in Danger Data - total number of camp residents killed
• protection-in-danger-data-total-number-of-service-providers-killed-98d03647 - Protection in Danger Data - total number of service providers killed

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	protection-in-danger-data-number-of-events-e1bf2bb3
indicator_name	string	Human-readable indicator name.	Protection in Danger Data - number of events
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.	1.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_country	string	Source dimension.	Afghanistan
dimension_country_iso	string	Source dimension.	AFG
source_period_start_year	Int64	First year inferred from source resource metadata.	2020
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.	2020-2026
source_provider	category	Publishing organization.	Insecurity Insight
source_dataset	category	Source package title.	Protection in Danger Data
source_resource	category	Source resource title.	2020-2026 Protection in Danger Overview Data.xlsx
source_package_id	category	CKAN package UUID.	14b1ad1d-abcf-453d-970c-cb964084134e
source_resource_id	category	CKAN resource UUID.	6987130d-0da3-4d16-a896-91dd862e7a4d
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/14b1ad1d-abcf-453d-970c-cb964084134e/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-protection-in-danger-data-3f3019fe")
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_protection_in_danger_data_3f3019fe_2026,
  title        = {Protection in Danger Data | Africa (Mali official open data)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/sind-protection-in-danger-monthly-news-briefs-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-protection-in-danger-data-3f3019fe}}
}

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/14b1ad1d-abcf-453d-970c-cb964084134e/resource/6987130d-0da3-4d16-a896-91dd862e7a4d/download/2020-2026-protection-in-danger-overview-data.xlsx