Datasets:

electricsheepafrica
/

africa-owid-deaths-from-terrorism-by-target

country_name stringclasses 41 values	country_iso3 stringclasses 41 values	year int64 1.97k 2.02k	Airports and airplanes float64 0 224	Business float64 0 240	Government float64 0 171	Maritime float64 0 18	NGO float64 0 81	Religious targets float64 0 400	Militia float64 0 206	Transportation float64 0 404	Utilities float64 0 201	Violent political parties float64 0 326	Unknown float64 0 136	Tourists float64 0 92	Other float64 0 20	Journalists & media float64 0 32	Diplomatic float64 0 224	Educational institutions float64 0 152	Police float64 0 363	Military float64 0 754	Private citizens & property float64 0 5.86k
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Angola	AGO	2,019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5

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Deaths From Terrorism By Target | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)

Size category: 1K<n<10K - Formats: parquet - Sector: governance_security - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Deaths From Terrorism By Target | Africa (Our World in Data) 🌍 2,578 observations · 51 Africa countries · 1970–2021 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 2,578 observations of Deaths From Terrorism By Target data across 51 Africa countries, spanning 1970–2021. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Deaths From Terrorism By Target Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-deaths-from-terrorism-by-target.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-owid-deaths-from-terrorism-by-target`
Sector	governance_security
Topic tags	tabular, our-world-in-data, deaths-from-terrorism-by-target, owid, long-run-series, time-series
Modalities	`tabular`, `text`
Formats	`parquet`
Size category	`1K<n<10K`
Countries	Africa-wide or source-defined African coverage
ISO3 coverage	`not declared`
Last modified on HF	`2026-06-05 02:03:54+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-deaths-from-terrorism-by-target")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: country, upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: Electric Sheep Africa metadata inventory
Publisher/source attribution: Public dataset metadata
License: CC BY 4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-owid-deaths-from-terrorism-by-target
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_owid_deaths_from_terrorism_by_target_2026,
  title        = {Deaths From Terrorism By Target | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-owid-deaths-from-terrorism-by-target},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-deaths-from-terrorism-by-target}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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