electricsheepafrica/africa-malian-refugees-camp-locations-in-mauritania-niger-and-burkina-faso

Malian Refugees: Camp locations in Mauritania, Niger and Burkina Faso

Publisher: OCHA Mali · Source: HDX · License: other-pd-nr · Updated: 2023-05-02

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Abstract

This file contains the Malian refugees camp locations in BURKINA FASO, NIGER and MAURITANIA provided by UNHCR.

Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the update, establishm column(s). Geographic scope: MLI.

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

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Dataset Characteristics

Domain	Conflict and security
Unit of observation	Country-level aggregates
Rows (total)	26
Columns	11 (3 numeric, 6 categorical, 2 datetime)
Train split	20 rows
Test split	5 rows
Geographic scope	MLI
Publisher	OCHA Mali
HDX last updated	2023-05-02

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Variables

Geographic — country_co (NER, BFA, MRT), location_n (Deou, Abala, Miyane), location_t (RLO, RCO, RUO), point_x (range -5.8222–4.779), point_y (range 11.1781–16.146) and 1 others.

Temporal — update.

Identifier / Metadata — id (range 80.0–4575.0), esa_source (HDX), esa_processed (2026-04-04).

Other — establishm.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-malian-refugees-camp-locations-in-mauritania-niger-and-burkina-faso")
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
id	int64	0.0%	80.0 – 4575.0 (mean 3788.1154)
country_co	object	0.0%	NER, BFA, MRT
location_n	object	0.0%	Deou, Abala, Miyane
location_t	object	0.0%	RLO, RCO, RUO
update	datetime64[ns]	0.0%
establishm	datetime64[ns]	0.0%
point_x	float64	0.0%	-5.8222 – 4.779 (mean 0.8663)
point_y	float64	0.0%	11.1781 – 16.146 (mean 14.6234)
type	object	0.0%	Refugee Location, Refugee Camp, Refugee Urban Location
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
id	80.0	4575.0	3788.1154	4240.5
point_x	-5.8222	4.779	0.8663	0.9391
point_y	11.1781	16.146	14.6234	14.8091

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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. 2 column(s) with >80% missing values were removed: closing_da, commentary. 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 Mali 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_malian_refugees_camp_locations_in_mauritania_niger_and_burkina_faso,
  title     = {Malian Refugees: Camp locations in Mauritania, Niger and Burkina Faso},
  author    = {OCHA Mali},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/malian-refugees-camp-locations-in-mauritania-niger-and-burkina-faso},
  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.