electricsheepafrica/africa-adeso-somalia-data

Somalia-Adeso 3W Matrix

Publisher: Adeso (inactive) · Source: HDX · License: cc-by · Updated: 2023-03-03

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Abstract

Humanitarian Data

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the start_date, end_date column(s). Geographic scope: SOM.

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

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Subnational administrative unit observations
Rows (total)	148
Columns	16 (1 numeric, 12 categorical, 3 datetime)
Train split	118 rows
Test split	29 rows
Geographic scope	SOM
Publisher	Adeso (inactive)
HDX last updated	2023-03-03

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Variables

Geographic — activity_description (Unconditional Cash transfer, WASH, Agriculture), activity_summary (Unconditional Cash transfer, Cash for work, WASH), region (Mudug, Lower Juba, Sanaag), district (Afmadow, Gaalkacyo, Hobyo), specific_location (Dagelima, Durduri, Galbarwaqo).

Temporal — start_date, end_date, date_updated.

Demographic — unit_ind_hh (50HH, 0, 30HH).

Identifier / Metadata — esa_source, esa_processed.

Other — cluster (FOOD SECURITY , Food Cluster, WASH Cluster), organization (Adeso), programme (CARSPII, SCORES II, Safe water Project), status (On-going, Completed), no_of_beneficaries (range 0.0–14000.0).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-adeso-somalia-data")
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
cluster	object	0.0%	FOOD SECURITY , Food Cluster, WASH Cluster
organization	object	0.0%	Adeso
programme	object	0.0%	CARSPII, SCORES II, Safe water Project
activity_description	object	0.0%	Unconditional Cash transfer, WASH, Agriculture
activity_summary	object	0.0%	Unconditional Cash transfer, Cash for work, WASH
region	object	0.0%	Mudug, Lower Juba, Sanaag
district	object	0.0%	Afmadow, Gaalkacyo, Hobyo
specific_location	object	0.0%	Dagelima, Durduri, Galbarwaqo
status	object	0.0%	On-going, Completed
start_date	datetime64[ns]	0.0%
end_date	datetime64[ns]	0.0%
no_of_beneficaries	int64	0.0%	0.0 – 14000.0 (mean 1038.9392)
unit_ind_hh	object	4.1%	50HH, 0, 30HH
date_updated	datetime64[ns]	0.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
no_of_beneficaries	0.0	14000.0	1038.9392	266.0

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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: implementing_partner. 3 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 Adeso (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_adeso_somalia_data,
  title     = {Somalia-Adeso 3W Matrix},
  author    = {Adeso (inactive)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/adeso-somalia-data},
  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.