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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)… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-administrative-boundaries-level-0-2-6f72c07c.

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Dataset Card

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

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

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
LBY1,29720152015Libya

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.7e2e9072-31e1-43bf-be48-2c33272b0597:admbdr-1-region:0
country_iso3categoryISO3 country code.LBY
country_namecategoryCountry name.Libya
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Admbdr_1_Region
yearInt64Observation year.2015
adm1_region_enstringSource column.Cyrenaica
adm1_region_arstringSource column.برقة
adm1_region_idstringSource column.LY01
source_period_start_yearInt64First year inferred from source resource metadata.2015
source_period_end_yearInt64Last year inferred from source resource metadata.2015
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2015
source_providercategoryPublishing organization.OCHA Middle East and North Africa (ROMENA)
source_datasetcategorySource package title.Libya Administrative Boundaries(Level 0 - 2)
source_resourcecategorySource resource title.lby_admbdra_tabular_BSC_IMO_20160728.xlsx
source_package_idcategoryCKAN package UUID.7a8e58e7-6f4e-4236-b7b6-27cddd26da7c
source_resource_idcategoryCKAN resource UUID.7e2e9072-31e1-43bf-be48-2c33272b0597
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/7a8e58e7-6f4e-4236-b7b6-27cddd26da7c/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-17T13:13:43Z
adm0_iso3stringSource column.``
adm1_regiostringSource column.``
adm1_reg_1stringSource column.``
adm1_reg_2stringSource column.``
adm0_idstringSource column.``
adm2_enstringSource column.``
adm2_arstringSource column.``
adm2_idstringSource column.``
adm0stringSource column.``
adm2_ob_enstringSource column.``
adm2_ob_arstringSource column.``
adm2_ob_idstringSource column.``
level3_baladiya_enstringSource column.``
level3_baladiya_arstringSource column.``
level3_baladiya_idstringSource column.``
level3_baladiya_typestringSource column.``
long_xfloat64Source column.``
lat_yfloat64Source column.``
adm1_region_name_enstringSource column.``
adm1_region_name_arstringSource column.``
adm2_ob_id1stringSource column.``
ma_nameenstringSource column.``
ma_namestringSource column.``
ma_codestringSource column.``
muhalla_latitudefloat64Source column.``
muhalla_longitudefloat64Source column.``
sourcestringSource column.``

Usage

python
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

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

Work with indicators

python
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

bibtex
@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

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/lbyadmbdratabularbscimo_20160728.xlsx