electricsheepafrica/africa-north-east-nigeria-child-protection-partner-operational-presence-april-may-and-june-2018

North East Nigeria Child Protection Partner Operational Presence, April, May and June 2018

Publisher: iMMAP Inc. · Source: HDX · License: cc-by · Updated: 2024-09-13

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Abstract

Child Protection sub-sector partner operational presence to Local Government Area (Admin2) level in north east Nigeria for the months of April, May and June 2018. The datasets cover partner operational presence by Local Government Area or LGA (Admin2) level in all three crisis-affected states of Borno, Yobe and Adamawa. Also provides a count of the organizations responding under the Child Protection sub-sector to Ward (Admin3) level in north east Nigeria for the months of April, May and June 2018. The datasets each provide a count of organizations by ward (Admin 3) level in all three crisis-affected states of Borno, Yobe and Adamawa.

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2024-09-13. Geographic scope: NGA.

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)	65
Columns	10 (2 numeric, 8 categorical, 0 datetime)
Train split	52 rows
Test split	13 rows
Geographic scope	NGA
Publisher	iMMAP Inc.
HDX last updated	2024-09-13

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Variables

Geographic — state (BORNO, ADAMAWA, YOBE), statecode (NGA008, NGA002, NGA036), state_inec (NG008, NG002, NG036), lga (DEMSA, JERE, KALA/BALGE), lgacode (NGA002001, NGA008013, NGA008015) and 1 others.

Outcome / Measurement — count (range 0.0–15.0).

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

Other — presence (range 0.0–1.0).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-north-east-nigeria-child-protection-partner-operational-presence-april-may-and-june-2018")
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
state	object	0.0%	BORNO, ADAMAWA, YOBE
statecode	object	0.0%	NGA008, NGA002, NGA036
state_inec	object	0.0%	NG008, NG002, NG036
lga	object	0.0%	DEMSA, JERE, KALA/BALGE
lgacode	object	0.0%	NGA002001, NGA008013, NGA008015
lga_inec	object	0.0%	NG002001, NG008013, NG008015
count	int64	0.0%	0.0 – 15.0 (mean 2.4308)
presence	int64	0.0%	0.0 – 1.0 (mean 0.6769)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-04

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Numeric Summary

Column	Min	Max	Mean	Median
count	0.0	15.0	2.4308	1.0
presence	0.0	1.0	0.6769	1.0

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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. 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 iMMAP Inc. 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_north_east_nigeria_child_protection_partner_operational_presence_april_may_and_june_2018,
  title     = {North East Nigeria Child Protection Partner Operational Presence, April, May and June 2018},
  author    = {iMMAP Inc.},
  year      = {2024},
  url       = {https://data.humdata.org/dataset/north-east-nigeria-child-protection-partner-operational-presence-april-may-and-june-2018},
  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.