electricsheepafrica/africa-operational-presence-sudan

Sudan: Who is doing What and Where (3Ws)

Publisher: OCHA Sudan · Source: HDX · License: hdx-odc-by · Updated: 2023-03-03

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Abstract

This file contains information about the humanitarian organizations in Sudan. Who is doing what and where in Sudan (3Ws) as of July 2022

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2023-03-03. Geographic scope: SDN.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	First-level administrative unit observations
Rows (total)	1,035
Columns	6 (0 numeric, 6 categorical, 0 datetime)
Train split	828 rows
Test split	207 rows
Geographic scope	SDN
Publisher	OCHA Sudan
HDX last updated	2023-03-03

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Variables

Geographic — state (South Kordofan, Blue Nile, North Darfur), type_un_ingo_nngo (INGO, NNGO, UN Agency).

Identifier / Metadata — partner_name (UNICEF, SRCS, SCI), esa_source (HDX), esa_processed (2026-04-29).

Other — sector (FSL, WASH, Health).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-operational-presence-sudan")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
state	object	0.0%	South Kordofan, Blue Nile, North Darfur
sector	object	0.0%	FSL, WASH, Health
partner_name	object	0.0%	UNICEF, SRCS, SCI
type_un_ingo_nngo	object	0.0%	INGO, NNGO, UN Agency
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-29

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 1 exact duplicate rows were removed. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from OCHA Sudan and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_operational_presence_sudan,
  title     = {Sudan: Who is doing What and Where (3Ws)},
  author    = {OCHA Sudan},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/sudan-who-is-doing-what-and-where-3ws},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.