electricsheepafrica/africa-libya-libya-humanitarian-needs-overview-e63f4e8d

Libya: Humanitarian Needs Overview | Africa (Libya official open data)

69 rows - 1 Africa country - 2020 - 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: Humanitarian Needs Overview
• Publisher: OCHA Libya (inactive)
• Resource: LBY_HNO_2020.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	69	2020	2020	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.	a515640a-0481-452d-8a94-94ebdc31b269:pins-by-mantika: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.	PINs by Mantika
year	Int64	Observation year.	2020
mantika	string	Source column.	#adm2 +name
pin_idps	float64	Source column.	``
idps_physical_and_mental_wellbeing	float64	Source column.	``
idps_living_standards	float64	Source column.	``
pin_returnees	float64	Source column.	``
returnees_physical_and_mental_wellbeing	float64	Source column.	``
returnees_living_standards	float64	Source column.	``
pin_non_displaced	float64	Source column.	``
non_displaced_physical_and_mental_wellbeing	float64	Source column.	``
non_displaced_living_standards	float64	Source column.	``
pin_migrants	float64	Source column.	``
migrants_physical_and_mental_wellbeing	float64	Source column.	``
migrants_living_standards	float64	Source column.	``
pin_refugees	float64	Source column.	``
refugees_physical_and_mental_wellbeing	float64	Source column.	``
refugees_living_standards	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2020
source_period_end_year	Int64	Last year inferred from source resource metadata.	2020
source_period_label	category	Human-readable period inferred from source resource metadata.	2020
source_provider	category	Publishing organization.	OCHA Libya (inactive)
source_dataset	category	Source package title.	Libya: Humanitarian Needs Overview
source_resource	category	Source resource title.	LBY_HNO_2020.xlsx
source_package_id	category	CKAN package UUID.	f2557dd3-3343-416c-8041-978940523044
source_resource_id	category	CKAN resource UUID.	a515640a-0481-452d-8a94-94ebdc31b269
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f2557dd3-3343-416c-8041-978940523044/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-17T13:13:43Z
wash	float64	Source column.	``
health	float64	Source column.	``
protection	float64	Source column.	``
fss	float64	Source column.	``
child_protection	float64	Source column.	``
education	float64	Source column.	``
snfi	float64	Source column.	``
gbv	float64	Source column.	``
location	string	Source column.	``
total_snfi	float64	Source column.	``
total_protection	float64	Source column.	``
mine_action	float64	Source column.	``
cp	float64	Source column.	``
edu	float64	Source column.	``
total	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-humanitarian-needs-overview-e63f4e8d")
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_humanitarian_needs_overview_e63f4e8d_2020,
  title        = {Libya: Humanitarian Needs Overview | Africa (Libya official open data)},
  author       = {OCHA Libya (inactive)},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/libya-humanitarian-needs-overview},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-humanitarian-needs-overview-e63f4e8d}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Libya (inactive). 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/f2557dd3-3343-416c-8041-978940523044/resource/a515640a-0481-452d-8a94-94ebdc31b269/download/lby_hno_2020.xlsx