electricsheepafrica/africa-niger-education-in-danger-data-8ab879bb

Education in Danger Data | Africa (Niger official open data)

28 rows - 1 Africa country - 2021-2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Niger 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 Danger Data
• Publisher: Insecurity Insight
• Resource: 2021-2023 Drone Attacks on Education Data.xlsx
• Format: XLSX
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NER	28	2021	2023	Niger

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.	3603cf01-a00f-4909-9327-9babcc7c2b17:2021-2023-drone-attacks-on-educ:0
country_iso3	category	ISO3 country code.	NER
country_name	category	Country name.	Niger
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	2021-2023 Drone Attacks on Educ
date	string	Observation date.	#date +occurred
country	string	Source column.	#country
country_iso	string	Source column.	#country_ISO
admin_1	string	Source column.	#admin1
latitude	float64	Source column.	``
longitude	float64	Source column.	``
geo_precision	string	Source column.	``
launch_type	string	Source column.	#weapons
reported_perpetrator	string	Source column.	#group +perp
reported_perpetrator_name	string	Source column.	#group +perp +name
location	string	Source column.	``
location_of_event	string	Source column.	#loc
education_infrastructure_damaged_or_destroyed_by_explosi	string	Source column.	``
sind_event_id	float64	Source column.	``
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.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2021-2023
source_provider	category	Publishing organization.	Insecurity Insight
source_dataset	category	Source package title.	Education in Danger Data
source_resource	category	Source resource title.	2021-2023 Drone Attacks on Education Data.xlsx
source_package_id	category	CKAN package UUID.	c7db52ae-13c2-4bf5-ae71-a9243a68194e
source_resource_id	category	CKAN resource UUID.	3603cf01-a00f-4909-9327-9babcc7c2b17
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/c7db52ae-13c2-4bf5-ae71-a9243a68194e/re
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T00:35:21Z
data_notes	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-education-in-danger-data-8ab879bb")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NER"]

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_niger_education_in_danger_data_8ab879bb_2023,
  title        = {Education in Danger Data | Africa (Niger official open data)},
  author       = {Insecurity Insight},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/sind-education-in-danger-monthly-news-briefs-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-education-in-danger-data-8ab879bb}}
}

License

Released under CC BY-SA.

Original data (c) Insecurity Insight. 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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/c7db52ae-13c2-4bf5-ae71-a9243a68194e/resource/3603cf01-a00f-4909-9327-9babcc7c2b17/download/2021-2023-drone-attacks-on-education-data.xlsx