electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-5e76abb7

Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Niger official open data)

92 rows - 1 Africa country - 2025-2026 - 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: Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care
• —Publisher: Insecurity Insight
• —Resource: 2024-2026 NER Conflict-Related Incidents Affecting Food Systems Incident Data.xlsx
• —Format: XLSX
• —License: CC BY-SA
• —Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Indicators or Resource Contents

• —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-5bac4370 - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-5e76abb7")
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_niger_ner_attacks_on_aid_operations_education_food_and_wat_5e76abb7_2026,
  title        = {Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Niger official open data)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/niger-violence-against-cvilians-and-vital-civilian-facilities},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-5e76abb7}}
}

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

Provenance: ingested 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/50a644b7-49d4-4841-af87-7aa42a12acd0/resource/14f7b794-8b9f-4f3d-b7fd-efe6c59c6809/download/2024-2026-ner-conflict-related-incidents-affecting-food-systems-incident-data.xlsx