electricsheepafrica/africa-central-african-republic-republique-centrafricaine-presence-operationnelle-7e584104

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

1,810 rows - 1 Africa country - 2022 - 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_Mar2022
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	1,810	2022	2022	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.	8f246bb2-91eb-4928-b68b-f958d167803d:rca-3w-qui-fait-quoi-ou-t1-2022:0
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.	RCA 3W Qui fait Quoi Où T1 2022
year	Int64	Observation year.	2022
prefecture	string	Source column.	#adm1+name
pcode1	string	Source column.	#adm1+code
sousprefecture	string	Source column.	#adm2+name
pcode2	string	Source column.	#adm2+code
secteur	string	Source column.	#sector
acteur	string	Source column.	#org+name
description_acteur	string	Source column.	``
type_org	string	Source column.	``
zone	string	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2022
source_period_end_year	Int64	Last year inferred from source resource metadata.	2022
source_period_label	category	Human-readable period inferred from source resource metadata.	2022
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_Mar2022
source_package_id	category	CKAN package UUID.	2e53bdcb-c2d1-4e2b-908d-cb1ae473755f
source_resource_id	category	CKAN resource UUID.	8f246bb2-91eb-4928-b68b-f958d167803d
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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-republique-centrafricaine-presence-operationnelle-7e584104")
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_2022,
  title        = {République Centrafricaine : Présence Opérationnelle | Africa (Central African Republic official open data)},
  author       = {OCHA Central African Republic},
  year         = {2022},
  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-7e584104}}
}

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

---

Provenance: ingested 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/2e53bdcb-c2d1-4e2b-908d-cb1ae473755f/resource/8f246bb2-91eb-4928-b68b-f958d167803d/download/ocha-car-3w-qui-fait-quoi-ou-t1-2022.xlsx