electricsheepafrica/africa-zimbabwe-operational-presence

Zimbabwe: Operational Presence

Publisher: OCHA Regional Office for Southern and Eastern Africa (ROSEA) · Source: HDX · License: cc-by · Updated: 2025-09-16

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Abstract

Who is doing what and where in zimbabwe

Each row in this dataset represents first-level administrative unit observations. Temporal coverage is indicated by the reporting_month column(s). Geographic scope: ZWE.

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)	1,570
Columns	9 (0 numeric, 8 categorical, 1 datetime)
Train split	1,256 rows
Test split	314 rows
Geographic scope	ZWE
Publisher	OCHA Regional Office for Southern and Eastern Africa (ROSEA)
HDX last updated	2025-09-16

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Variables

Geographic — province (Manicaland, Mashonaland East, Matabeleland North), lead_agency (United Nations Children's Fund (UNICEF), World Health Organization (WHO), World Food Programme (WFP) ), organization_type (Government, INGO, NNGO).

Temporal — reporting_month.

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-18).

Other — areas (Harare, Binga, Chipinge), sector_cluster (Education, Protection/CP, Health), implementing_partner (Ministry of Health and Child Care (MoHCC), Regional Psychosocial Support Initiative (REPSSI), United Nations Children's Fund (UNICEF)).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-zimbabwe-operational-presence")
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
reporting_month	datetime64[ns]	0.1%
province	object	0.1%	Manicaland, Mashonaland East, Matabeleland North
areas	object	0.1%	Harare, Binga, Chipinge
sector_cluster	object	0.0%	Education, Protection/CP, Health
lead_agency	object	0.1%	United Nations Children's Fund (UNICEF), World Health Organization (WHO), World Food Programme (WFP)
implementing_partner	object	0.0%	Ministry of Health and Child Care (MoHCC), Regional Psychosocial Support Initiative (REPSSI), United Nations Children's Fund (UNICEF)
organization_type	object	0.0%	Government, INGO, NNGO
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-18

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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. 4,608 exact duplicate rows were removed. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 Regional Office for Southern and Eastern Africa (ROSEA) 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_zimbabwe_operational_presence,
  title     = {Zimbabwe: Operational Presence},
  author    = {OCHA Regional Office for Southern and Eastern Africa (ROSEA)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/zimbabwe-operational-presence},
  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.