electricsheepafrica/africa-mali-reponse-de-la-crs-dans-les-communes-du-mali-83d928d3

Réponse de la CRS dans les communes du Mali | Africa (Mali official open data)

13 rows - 1 Africa country - 2018 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Mali 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: Réponse de la CRS dans les communes du Mali
• Publisher: Catholic Relief Services (WARO) (inactive)
• Resource: CRS_ML_2018_Reponse_CRS_Suite_aux_Evaluations_Rapides_KISILI_2.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	13	2018	2018	Mali

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.	cec29b2d-32a4-439d-8b5d-5e3f14df52ed:crs-ml-2018-reponse-crs-suite-a:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	CRS_ML_2018_Reponse_CRS_Suite_a
year	Int64	Observation year.	2018
region	string	Source column.	#adm1+name
cercle	string	Source column.	#adm2+name
commune	string	Source column.	#adm3+name
type_crise	string	Source column.	#crisis
periode_de_reponse	string	Source column.	#date
menages	float64	Source column.	``
personnes	float64	Source column.	``
type_intervention	string	Source column.	#activity+type
longitude	float64	Source column.	``
latitude	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	category	Human-readable period inferred from source resource metadata.	2018
source_provider	category	Publishing organization.	Catholic Relief Services (WARO) (inactive)
source_dataset	category	Source package title.	Réponse de la CRS dans les communes du Mali
source_resource	category	Source resource title.	CRS_ML_2018_Reponse_CRS_Suite_aux_Evaluations_Rapides_KISILI_2.xlsx
source_package_id	category	CKAN package UUID.	7ce3032b-119d-4091-863c-54b23c5fab29
source_resource_id	category	CKAN resource UUID.	cec29b2d-32a4-439d-8b5d-5e3f14df52ed
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/7ce3032b-119d-4091-863c-54b23c5fab29/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-13T10:40:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-reponse-de-la-crs-dans-les-communes-du-mali-83d928d3")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_reponse_de_la_crs_dans_les_communes_du_mali_83d928d3_2018,
  title        = {Réponse de la CRS dans les communes du Mali | Africa (Mali official open data)},
  author       = {Catholic Relief Services (WARO) (inactive)},
  year         = {2018},
  url          = {https://data.humdata.org/dataset/reponse-de-la-crs-dans-les-communes-du-mali},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-reponse-de-la-crs-dans-les-communes-du-mali-83d928d3}}
}

License

Released under CC BY 4.0.

Original data (c) Catholic Relief Services (WARO) (inactive). 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/7ce3032b-119d-4091-863c-54b23c5fab29/resource/cec29b2d-32a4-439d-8b5d-5e3f14df52ed/download/crs_ml_2018_reponse_crs_suite_aux_evaluations_rapides_kisili_2.xlsx