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electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-c9a5fd82

Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC official open data) 819 rows - 1 Africa country - 2020 - 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: Safeguarding Health in Conflict Coalition… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-c9a5fd82.

sourceHugging Facecc-by-sa-4.0updated 1mo agoView on Hugging Face
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Dataset Card

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

819 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
COD81920202020DRC

Indicators or Resource Contents

  • —This source file is packaged as a normalized tabular resource.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.a4ba203d-5e5b-477b-9524-784a544be094:2020-shcc-incident-data:0
country_iso3categoryISO3 country code.COD
country_namecategoryCountry name.DRC
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.2020 SHCC Incident Data
yearInt64Observation year.2020
shcc_event_codefloat64Source column.``
incident_datestringSource column.#date
countrystringSource column.#country +name
perpetratorstringSource column.#group +perp +name
weapons_usestringSource column.#weapon
total_health_worker_killedfloat64Source column.``
total_health_worker_kidnappedfloat64Source column.``
deprivation_of_libertystringSource column.``
total_health_worker_arrestedfloat64Source column.``
total_health_worker_threatened_intimidatedfloat64Source column.``
total_health_worker_injuredfloat64Source column.``
total_health_worker_assaultedfloat64Source column.``
total_health_worker_sexual_violencestringSource column.#affected +healthworker +SGBV
total_number_of_attacks_on_facilities_which_reported_desfloat64Source column.``
total_number_of_attacks_on_facilities_which_reported_damfloat64Source column.``
health_transportation_destroyedfloat64Source column.``
health_transportation_damagedfloat64Source column.``
health_transportation_stolen_highjackedstringSource column.#indicator +health_transport +abducted +num
source_period_start_yearInt64First year inferred from source resource metadata.2020
source_period_end_yearInt64Last year inferred from source resource metadata.2020
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2020
source_providercategoryPublishing organization.Insecurity Insight
source_datasetcategorySource package title.Safeguarding Health in Conflict Coalition (SHCC) Data
source_resourcecategorySource resource title.2020 SHCC Incident Data.xlsx
source_package_idcategoryCKAN package UUID.02995168-3644-4b78-92be-cdf67275b39d
source_resource_idcategoryCKAN resource UUID.a4ba203d-5e5b-477b-9524-784a544be094
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/02995168-3644-4b78-92be-cdf67275b39d/re
license_idcategorySource license identifier.cc-by-sa
retrieved_atcategoryUTC retrieval timestamp.2026-08-20T11:38:57Z
citationstringSource column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-c9a5fd82")
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_safeguarding_health_in_conflict_coalition_shcc_data_c9a5fd82_2020,
  title        = {Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC official open data)},
  author       = {Insecurity Insight},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/shcchealthcare-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-c9a5fd82}}
}

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 2026-08-20 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/02995168-3644-4b78-92be-cdf67275b39d/resource/a4ba203d-5e5b-477b-9524-784a544be094/download/2020-shcc-incident-data.xlsx