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electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-e0e5eca7

Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC official open data) 36 rows - 1 Africa country - 2018 - 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-e0e5eca7.

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)

36 rows - 1 Africa country - 2018 - 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
COD3620182018DRC

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.d053b42a-7d31-41b5-a6d9-c8b0a424241c:shcc-dataset-2018:0
country_iso3categoryISO3 country code.COD
country_namecategoryCountry name.DRC
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.SHCC Dataset 2018
yearInt64Observation year.2018
countrystringSource column.#country +name
total_shcc_attacks_2018float64Source column.``
intentional_attackfloat64Source column.``
indiscriminate_attackfloat64Source column.``
no_information_on_intention_of_attackfloat64Source column.``
total_health_worker_killedfloat64Source column.``
total_health_worker_injuredfloat64Source column.``
total_health_worker_kidnappedfloat64Source column.``
total_number_of_facilities_affectedfloat64Source column.``
total_number_of_attacks_on_facilities_which_reported_desfloat64Source column.``
total_number_of_attacks_on_facilities_which_reported_damfloat64Source column.``
armed_entry_into_medical_facilitiesstringSource column.#impact +health_facility +armed_entry +num
looting_theft_robbery_burglary_of_health_suppliesstringSource column.#impact +health_supplies +taken +num
occupation_of_medical_facilities_for_military_usestringSource column.#impact +health_facility +occupation +num
health_transportation_destroyedstringSource column.#impact +health_transport +destroyed +num
health_transportation_damagedfloat64Source column.``
health_transportation_stolen_highjackedfloat64Source column.``
non_state_forcesfloat64Source column.``
multiple_forcesstringSource column.#group +type +perp_mulitple_forces
state_forcesfloat64Source column.``
unknown_forcesfloat64Source column.``
source_period_start_yearInt64First year inferred from source resource metadata.2018
source_period_end_yearInt64Last year inferred from source resource metadata.2018
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2018
source_providercategoryPublishing organization.Insecurity Insight
source_datasetcategorySource package title.Safeguarding Health in Conflict Coalition (SHCC) Data
source_resourcecategorySource resource title.2018 SHCC Overview Data.xlsx
source_package_idcategoryCKAN package UUID.02995168-3644-4b78-92be-cdf67275b39d
source_resource_idcategoryCKAN resource UUID.d053b42a-7d31-41b5-a6d9-c8b0a424241c
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-e0e5eca7")
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_e0e5eca7_2018,
  title        = {Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC 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-drc-safeguarding-health-in-conflict-coalition-shcc-data-e0e5eca7}}
}

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/d053b42a-7d31-41b5-a6d9-c8b0a424241c/download/2018-shcc-overview-data.xlsx