electricsheepasia/asia-hrp-hrp-projects-yemen

Yemen: Response Plan projects

Publisher: OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Source: HDX · License: cc-by-igo · Updated: 2026-04-27

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Abstract

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

Important: some projects in Yemen might be missing, and others might not apply specifically to Yemen. 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: YEM.

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)	24
Columns	13 (1 numeric, 10 categorical, 2 datetime)
Train split	19 rows
Test split	4 rows
Geographic scope	YEM
Publisher	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
HDX last updated	2026-04-27

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Variables

Geographic — locations (ETH, DJI, SOM).

Temporal — startdate, enddate.

Identifier / Metadata — name (Djibouti - Danish Refugee Council - Humanitarian Assistance for Horn of Africa and Yemen Migrants in Djibouti, Djibouti - International Organization for Migration - Humanitarian Assistance for Horn of Africa and Yemen Migrants in Djibouti, Regional - International Organization for Migration - Humanitarian Assistance for Horn of Africa and Yemen Migrants), versioncode (RDJIETHSOMYEM22-MS-192541-1, RDJIETHSOMYEM22-MS-192542-1, RDJIETHSOMYEM22-MS-192543-1), response_plan_code (RDJIETHSOMYEM22), esa_source (HDX), esa_processed (2026-05-04).

Other — currentrequestedfunds (range 29053.0–10000000.0), objective (No summary available. , No summary available, No summary available. Djibouti listed as country as no multi-select available.), globalclusters (Multi-sector), organizations (International Organization for Migration, Save the Children, United Nations Children's Fund), plans (Regional Migrant Response Plan for the Horn of Africa and Yemen 2022).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-hrp-all")
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%	Djibouti - Danish Refugee Council - Humanitarian Assistance for Horn of Africa and Yemen Migrants in Djibouti, Djibouti - International Organization for Migration - Humanitarian Assistance for Horn of Africa and Yemen Migrants in Djibouti, Regional - International Organization for Migration - Humanitarian Assistance for Horn of Africa and Yemen Migrants
versioncode	object	0.0%	RDJIETHSOMYEM22-MS-192541-1, RDJIETHSOMYEM22-MS-192542-1, RDJIETHSOMYEM22-MS-192543-1
currentrequestedfunds	int64	0.0%	29053.0 – 10000000.0 (mean 1732472.0833)
objective	object	0.0%	No summary available. , No summary available, No summary available. Djibouti listed as country as no multi-select available.
startdate	datetime64[ns]	0.0%
enddate	datetime64[ns]	0.0%
globalclusters	object	0.0%	Multi-sector
locations	object	0.0%	ETH, DJI, SOM
organizations	object	0.0%	International Organization for Migration, Save the Children, United Nations Children's Fund
plans	object	0.0%	Regional Migrant Response Plan for the Horn of Africa and Yemen 2022
response_plan_code	object	0.0%	RDJIETHSOMYEM22
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-04

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Numeric Summary

Column	Min	Max	Mean	Median
currentrequestedfunds	29053.0	10000000.0	1732472.0833	933750.0

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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_asia_hrp_all,
  title     = {Yemen: Response Plan projects},
  author    = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hrp-projects-yem},
  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.