electricsheepafrica/africa-libya-libya-administrative-boundaries-level-0-2-6f72c07c

Libya Administrative Boundaries(Level 0 - 2) | Africa (Libya official open data)

1,297 rows - 1 Africa country - 2015 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Libya as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Libya Administrative Boundaries(Level 0 - 2)
• Publisher: OCHA Middle East and North Africa (ROMENA)
• Resource: lby_admbdra_tabular_BSC_IMO_20160728.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
LBY	1,297	2015	2015	Libya

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	7e2e9072-31e1-43bf-be48-2c33272b0597:admbdr-1-region:0
country_iso3	category	ISO3 country code.	LBY
country_name	category	Country name.	Libya
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Admbdr_1_Region
year	Int64	Observation year.	2015
adm1_region_en	string	Source column.	Cyrenaica
adm1_region_ar	string	Source column.	برقة
adm1_region_id	string	Source column.	LY01
source_period_start_year	Int64	First year inferred from source resource metadata.	2015
source_period_end_year	Int64	Last year inferred from source resource metadata.	2015
source_period_label	category	Human-readable period inferred from source resource metadata.	2015
source_provider	category	Publishing organization.	OCHA Middle East and North Africa (ROMENA)
source_dataset	category	Source package title.	Libya Administrative Boundaries(Level 0 - 2)
source_resource	category	Source resource title.	lby_admbdra_tabular_BSC_IMO_20160728.xlsx
source_package_id	category	CKAN package UUID.	7a8e58e7-6f4e-4236-b7b6-27cddd26da7c
source_resource_id	category	CKAN resource UUID.	7e2e9072-31e1-43bf-be48-2c33272b0597
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/7a8e58e7-6f4e-4236-b7b6-27cddd26da7c/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-17T13:13:43Z
adm0_iso3	string	Source column.	``
adm1_regio	string	Source column.	``
adm1_reg_1	string	Source column.	``
adm1_reg_2	string	Source column.	``
adm0_id	string	Source column.	``
adm2_en	string	Source column.	``
adm2_ar	string	Source column.	``
adm2_id	string	Source column.	``
adm0	string	Source column.	``
adm2_ob_en	string	Source column.	``
adm2_ob_ar	string	Source column.	``
adm2_ob_id	string	Source column.	``
level3_baladiya_en	string	Source column.	``
level3_baladiya_ar	string	Source column.	``
level3_baladiya_id	string	Source column.	``
level3_baladiya_type	string	Source column.	``
long_x	float64	Source column.	``
lat_y	float64	Source column.	``
adm1_region_name_en	string	Source column.	``
adm1_region_name_ar	string	Source column.	``
adm2_ob_id1	string	Source column.	``
ma_nameen	string	Source column.	``
ma_name	string	Source column.	``
ma_code	string	Source column.	``
muhalla_latitude	float64	Source column.	``
muhalla_longitude	float64	Source column.	``
source	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-administrative-boundaries-level-0-2-6f72c07c")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "LBY"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_libya_libya_administrative_boundaries_level_0_2_6f72c07c_2015,
  title        = {Libya Administrative Boundaries(Level 0 - 2) | Africa (Libya official open data)},
  author       = {OCHA Middle East and North Africa (ROMENA)},
  year         = {2015},
  url          = {https://data.humdata.org/dataset/libya-administrative-boundaries-level-0-2},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-administrative-boundaries-level-0-2-6f72c07c}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Middle East and North Africa (ROMENA). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-17 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/7a8e58e7-6f4e-4236-b7b6-27cddd26da7c/resource/7e2e9072-31e1-43bf-be48-2c33272b0597/download/lby_admbdra_tabular_bsc_imo_20160728.xlsx