Datasetpublic

electricsheepafrica/africa-drc-protection-in-danger-data-3c751a6f

Protection in Danger Data | Africa (DRC official open data) 106,800 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from DRC 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-protection-in-danger-data-3c751a6f.

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Dataset Card

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

106,800 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from DRC 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 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
`COD`	106,800	2024	2026	`DRC`

Indicators or Resource Contents

—protection-in-danger-data-number-of-attacks-on-camps-reporting-destructi-316916fc - Protection in Danger Data - number of attacks on camps reporting destruction
—protection-in-danger-data-number-of-attacks-on-camps-reporting-damaged-9a4fe23b - Protection in Danger Data - number of attacks on camps reporting damaged
—protection-in-danger-data-camp-resident-killed-3d351066 - Protection in Danger Data - camp resident killed
—protection-in-danger-data-camp-resident-injured-c131abc8 - Protection in Danger Data - camp resident injured
—protection-in-danger-data-camp-residents-kidnapped-738f5d14 - Protection in Danger Data - camp residents kidnapped
—protection-in-danger-data-camp-residents-arrested-320facb1 - Protection in Danger Data - camp residents arrested
—protection-in-danger-data-camp-residents-targeted-with-crsv-22088cf2 - Protection in Danger Data - camp residents targeted with crsv
—protection-in-danger-data-service-provider-killed-e44a23b6 - Protection in Danger Data - service provider killed
—protection-in-danger-data-service-provider-kidnapped-43b5b480 - Protection in Danger Data - service provider kidnapped
—protection-in-danger-data-service-provider-arrested-91adff90 - Protection in Danger Data - service provider arrested
—protection-in-danger-data-service-provider-targeted-with-crsv-46bc0254 - Protection in Danger Data - service provider targeted with crsv
—protection-in-danger-data-sind-id-8a188a49 - Protection in Danger Data - sind id

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`protection-in-danger-data-number-of-attacks-on-camps-reporting-destructi`
`indicator_name`	`string`	Human-readable indicator name.	`Protection in Danger Data - number of attacks on camps reporting destruc`
`country_iso3`	`string`	ISO3 country code.	`COD`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`Sheet1`
`country_name`	`string`	Country name.	`DRC`
`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.	`2026-07-20 00:00:00`
`dimension_country`	`string`	Source dimension.	`OPT`
`dimension_country_iso`	`string`	Source dimension.	`PSE`
`dimension_admin_1`	`string`	Source dimension.	`Gaza Strip`
`dimension_geo_precision`	`string`	Source dimension.	`censored`
`dimension_camp_name`	`string`	Source dimension.	`Jabalia Camp`
`dimension_reported_perpetrator`	`string`	Source dimension.	`Host Government: Military`
`dimension_reported_perpetrator_name`	`string`	Source dimension.	`Israeli Defence Forces`
`dimension_weapon_carried_used`	`string`	Source dimension.	`Aerial Bomb: Plane`
`dimension_protection_event_context`	`string`	Source dimension.	`Airstrike/Shelling`
`dimension_victim_of_violence`	`string`	Source dimension.	``
`dimension_survivor_or_victim_sex`	`string`	Source dimension.	`Multiple`
`dimension_survivor_or_victim_minor`	`string`	Source dimension.	`No Information About Age`
`dimension_date_event_entered`	`string`	Source dimension.	`2026-07-27 00:00:00`
`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 Incident Data.xlsx`
`source_package_id`	`category`	CKAN package UUID.	`14b1ad1d-abcf-453d-970c-cb964084134e`
`source_resource_id`	`category`	CKAN resource UUID.	`588cad68-c650-4a68-b27e-f28139bd6693`
`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.	`2026-08-19T06:15:51Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-protection-in-danger-data-3c751a6f")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "COD"]

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_drc_protection_in_danger_data_3c751a6f_2026,
  title        = {Protection in Danger Data | Africa (DRC 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-drc-protection-in-danger-data-3c751a6f}}
}

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 2026-08-19 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/14b1ad1d-abcf-453d-970c-cb964084134e/resource/588cad68-c650-4a68-b27e-f28139bd6693/download/2020-2026-protection-in-danger-incident-data.xlsx