electricsheepafrica/africa-liberiawash3w

Liberia WASH 3W

Publisher: OCHA Liberia (inactive) · Source: HDX · License: cc-by-igo · Updated: 2023-03-02

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Abstract

This is the 3W WASH cluster for OCHA Liberia

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2023-03-02. Geographic scope: LBR.

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

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Dataset Characteristics

Domain	Epidemiology and disease surveillance
Unit of observation	First-level administrative unit observations
Rows (total)	174
Columns	8 (0 numeric, 8 categorical, 0 datetime)
Train split	139 rows
Test split	34 rows
Geographic scope	LBR
Publisher	OCHA Liberia (inactive)
HDX last updated	2023-03-02

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Variables

Geographic — country (Liberia), region (Montserrado, Margibi, Bong), activity (Social Mobilization For WASH Activity, WASH in Community, WASH in Health Facilities), org_type (International NGO, UN Agencies).

Identifier / Metadata — pcode (LBR11, LBR09, LBR02), esa_source (HDX), esa_processed (2026-04-13).

Other — organisation (PLAN, UNICEF, Global Communities).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-liberiawash3w")
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
country	object	0.0%	Liberia
region	object	0.0%	Montserrado, Margibi, Bong
organisation	object	0.0%	PLAN, UNICEF, Global Communities
activity	object	0.0%	Social Mobilization For WASH Activity, WASH in Community, WASH in Health Facilities
pcode	object	0.0%	LBR11, LBR09, LBR02
org_type	object	0.0%	International NGO, UN Agencies
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-13

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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. 156 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 Liberia (inactive) 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_liberiawash3w,
  title     = {Liberia WASH 3W},
  author    = {OCHA Liberia (inactive)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/liberiawash3w},
  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.