electricsheepafrica/africa-hrp-projects-uga

Uganda: Response Plan projects

Publisher: OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Source: HDX · License: cc-by-igo · Updated: 2026-04-05

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Abstract

Projects proposed, in progress, or completed as part of the annual Uganda Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

Important: some projects in Uganda might be missing, and others might not apply specifically to Uganda. See Caveats under the Additional information tab.

Each row in this dataset represents time-series observations. Temporal coverage is indicated by the startdate, enddate column(s). Geographic scope: UGA.

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

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Time-series observations
Rows (total)	413
Columns	13 (1 numeric, 10 categorical, 2 datetime)
Train split	330 rows
Test split	82 rows
Geographic scope	UGA
Publisher	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
HDX last updated	2026-04-05

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Variables

Geographic — locations (UGA, RWA, TZA).

Temporal — startdate, enddate.

Identifier / Metadata — name (Zambia: United Nations High Commissioner for Refugees (Basic Needs response), Uganda: HelpAge International (Protection response), Rwanda: International Organization for Migration (Protection response)), versioncode (RDRC_RRP24-BSC-213740-1, RDRC_RRP24-PRO-213533-1, RDRC_RRP24-PRO-213560-1), response_plan_code (RDRC_RRP24), esa_source (HDX), esa_processed (2026-04-05).

Other — currentrequestedfunds (range 700.0–38119944.0), objective (United Nations High Commissioner for Refugees: Basic Needs response for DRC Regional Plan in Zambia, HelpAge International: Protection response for DRC Regional Plan in Uganda, International Organization for Migration: Protection response for DRC Regional Plan in Rwanda), globalclusters (Early Recovery, Education, Health), organizations (United Nations High Commissioner for Refugees, United Nations Children's Fund, World Vision International), plans (Democratic Republic of the Congo Regional Refugee Response Plan 2024).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-hrp-projects-uga")
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
name	object	0.0%	Zambia: United Nations High Commissioner for Refugees (Basic Needs response), Uganda: HelpAge International (Protection response), Rwanda: International Organization for Migration (Protection response)
versioncode	object	0.0%	RDRC_RRP24-BSC-213740-1, RDRC_RRP24-PRO-213533-1, RDRC_RRP24-PRO-213560-1
currentrequestedfunds	int64	0.0%	700.0 – 38119944.0 (mean 1618104.9467)
objective	object	0.0%	United Nations High Commissioner for Refugees: Basic Needs response for DRC Regional Plan in Zambia, HelpAge International: Protection response for DRC Regional Plan in Uganda, International Organization for Migration: Protection response for DRC Regional Plan in Rwanda
startdate	datetime64[ns]	0.0%
enddate	datetime64[ns]	0.0%
globalclusters	object	0.0%	Early Recovery, Education, Health
locations	object	0.0%	UGA, RWA, TZA
organizations	object	0.0%	United Nations High Commissioner for Refugees, United Nations Children's Fund, World Vision International
plans	object	0.0%	Democratic Republic of the Congo Regional Refugee Response Plan 2024
response_plan_code	object	0.0%	RDRC_RRP24
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-05

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Numeric Summary

Column	Min	Max	Mean	Median
currentrequestedfunds	700.0	38119944.0	1618104.9467	500000.0

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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 column(s) with >80% missing values were removed: partners. 2 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 Humanitarian Programme Cycle Tools (HPC Tools) 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_hrp_projects_uga,
  title     = {Uganda: Response Plan projects},
  author    = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hrp-projects-uga},
  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.