electricsheepafrica/africa-central-african-republic-republique-centrafricaine-presence-operationnelle-d55c2eab

République Centrafricaine : Présence Opérationnelle | Africa (Central African Republic official open data)

3,381 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Central African Republic 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: République Centrafricaine : Présence Opérationnelle
• Publisher: OCHA Central African Republic
• Resource: 3W_CAR_Dec2023
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	3,381	2023	2023	Central African Republic

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.	50c825b6-8fa4-47a7-8b23-e1d662c6ecc9:dataehat4:0
country_iso3	category	ISO3 country code.	CAF
country_name	category	Country name.	Central African Republic
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	DataEHAT4
year	Int64	Observation year.	2023
prefecture	string	Source column.	Basse Kotto
pcode1	string	Source column.	CF61
sousprefecture	string	Source column.	Mingala
pcode2	string	Source column.	CF614
secteur	string	Source column.	EHA
acteur	string	Source column.	ACF
description_acteur	string	Source column.	Action Contre La Faim
type_org	string	Source column.	ONG Internationale
description_activites_projet	string	Source column.	06. Construction de nouveau forage
date_debut	string	Source column.	2023-01-01 00:00:00
date_fin	string	Source column.	2023-12-31 00:00:00
statut	string	Source column.	A ajouter
date_maj	string	Source column.	2024-01-05 00:00:00
zone	string	Source column.	EST
source	string	Source column.	CLUSTER EHA T4
source_period_start_year	Int64	First year inferred from source resource metadata.	2023
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2023
source_provider	category	Publishing organization.	OCHA Central African Republic
source_dataset	category	Source package title.	République Centrafricaine : Présence Opérationnelle
source_resource	category	Source resource title.	3W_CAR_Dec2023
source_package_id	category	CKAN package UUID.	2e53bdcb-c2d1-4e2b-908d-cb1ae473755f
source_resource_id	category	CKAN resource UUID.	50c825b6-8fa4-47a7-8b23-e1d662c6ecc9
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/2e53bdcb-c2d1-4e2b-908d-cb1ae473755f/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T23:28:30Z
row_labels	string	Source column.	``
acteurs	string	Source column.	``
column_3	float64	Source column.	``
protection	string	Source column.	``
d_55	string	Source column.	``
spref_code	string	Source column.	``
longitude	float64	Source column.	``
latitude	float64	Source column.	``
region	string	Source column.	``
sp	string	Source column.	``
zone_2	string	Source column.	``
sigle_eng	string	Source column.	``
description_eng	string	Source column.	``
org_type	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-republique-centrafricaine-presence-operationnelle-d55c2eab")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CAF"]

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_central_african_republic_republique_centrafricaine_presence_operationnell_2023,
  title        = {République Centrafricaine : Présence Opérationnelle | Africa (Central African Republic official open data)},
  author       = {OCHA Central African Republic},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/republique-centrafricaine-presence-operationnelle},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-republique-centrafricaine-presence-operationnelle-d55c2eab}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Central African Republic. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/2e53bdcb-c2d1-4e2b-908d-cb1ae473755f/resource/50c825b6-8fa4-47a7-8b23-e1d662c6ecc9/download/ocha-car-national_3wop_t4_2023.xlsx