electricsheepafrica/africa-drc-republique-democratique-du-congo-presence-operationnelle-5e3d8cfa
République Démocratique du Congo : Présence Opérationnelle | Africa (DRC official open data) 5,434 rows - 1 Africa country - 2025-2027 - 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: République Démocratique du Congo… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-republique-democratique-du-congo-presence-operationnelle-5e3d8cfa.
République Démocratique du Congo : Présence Opérationnelle | Africa (DRC official open data)
5,434 rows - 1 Africa country - 2025-2027 - 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: République Démocratique du Congo : Présence Opérationnelle
- Publisher: OCHA Democratic Republic of the Congo (DRC)
- Resource: Extrait juin 2025.xlsx
- Format:
XLSX - License: CC BY 4.0
- Packaging mode:
indicator_long
Geographic coverage
1 Africa country:
Indicators or Resource Contents
republique-democratique-du-congo-presence-operationnelle-nombre-benefici-0fb733e5- République Démocratique du Congo : Présence Opérationnelle - nombre beneficiaires directsrepublique-democratique-du-congo-presence-operationnelle-budget-2a5f2b48- République Démocratique du Congo : Présence Opérationnelle - budget
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-drc-republique-democratique-du-congo-presence-operationnelle-5e3d8cfa")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
sample_country = df[df["country_iso3"] == "COD"]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_drc_republique_democratique_du_congo_presence_operationnelle_5e3d8cfa_2027,
title = {République Démocratique du Congo : Présence Opérationnelle | Africa (DRC official open data)},
author = {OCHA Democratic Republic of the Congo (DRC)},
year = {2027},
url = {https://data.humdata.org/dataset/drc_presence_operationnelle},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-republique-democratique-du-congo-presence-operationnelle-5e3d8cfa}}
}License
Released under CC BY 4.0.
Original data (c) OCHA Democratic Republic of the Congo (DRC). 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/49f93973-5f8e-4a89-9bbb-43db497c7255/resource/7b98800e-3e4c-4f12-9f69-523006e012bd/download/extrait-juin-2025.xlsx