electricsheepafrica/africa-mali-education-in-emergencies-eie-key-figures-ccdb4f67

Education in Emergencies (EiE) Key Figures | Africa (Mali official open data)

140 rows - 1 Africa country - 2021-2027 - 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: Education in Emergencies (EiE) Key Figures
• Publisher: Global Education Cluster
• Resource: EiE_KeyFigures_Since2021_HDX.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	140	2021	2027	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.	ba914b15-9ad4-41e4-8c14-a04d73d0e9c6:vocab: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.	VOCAB
year	float64	Observation year.	2021.0
country	string	Source column.	Afghanistan
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
source_period_end_year	Int64	Last year inferred from source resource metadata.	2021
source_period_label	category	Human-readable period inferred from source resource metadata.	2021
source_provider	category	Publishing organization.	Global Education Cluster
source_dataset	category	Source package title.	Education in Emergencies (EiE) Key Figures
source_resource	category	Source resource title.	EiE_KeyFigures_Since2021_HDX.xlsx
source_package_id	category	CKAN package UUID.	d5bd5d9c-d77c-4c1e-ad71-3c81c9b82ebd
source_resource_id	category	CKAN resource UUID.	ba914b15-9ad4-41e4-8c14-a04d73d0e9c6
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/d5bd5d9c-d77c-4c1e-ad71-3c81c9b82ebd/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-13T10:40:31Z
total_pin	float64	Source column.	``
total_children_pin	float64	Source column.	``
girls_pin	float64	Source column.	``
boys_pin	float64	Source column.	``
total_adults_pin	float64	Source column.	``
total_target	float64	Source column.	``
total_children_targeted	float64	Source column.	``
girls_targeted	float64	Source column.	``
boys_targeted	float64	Source column.	``
total_adults_targeted	float64	Source column.	``
total_reached	float64	Source column.	``
girls_reached	float64	Source column.	``
boys_reached	float64	Source column.	``
total_children_reached	float64	Source column.	``
total_adults_reached	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-education-in-emergencies-eie-key-figures-ccdb4f67")
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_education_in_emergencies_eie_key_figures_ccdb4f67_2027,
  title        = {Education in Emergencies (EiE) Key Figures | Africa (Mali official open data)},
  author       = {Global Education Cluster},
  year         = {2027},
  url          = {https://data.humdata.org/dataset/eie_keyfigures_since2021},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-education-in-emergencies-eie-key-figures-ccdb4f67}}
}

License

Released under CC BY 4.0.

Original data (c) Global Education Cluster. 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/d5bd5d9c-d77c-4c1e-ad71-3c81c9b82ebd/resource/ba914b15-9ad4-41e4-8c14-a04d73d0e9c6/download/eie_keyfigures_since2021_hdx.xlsx