electricsheepafrica/africa-cabo-verde-cabo-verde-science-and-technology-e3c9bf5b

Cabo Verde - Science and Technology | Africa (Cabo Verde official open data)

132 rows - 1 Africa country - 1986-2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Cabo Verde 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: Cabo Verde - Science and Technology
• Publisher: World Bank Group
• Resource: Science and Technology Indicators for Cabo Verde
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CPV	132	1986	2025	Cabo Verde

Indicators or Resource Contents

• cabo-verde-science-and-technology-7066d7d7 - Cabo Verde - Science and Technology

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	cabo-verde-science-and-technology-7066d7d7
indicator_name	string	Human-readable indicator name.	Cabo Verde - Science and Technology
country_iso3	string	ISO3 country code.	CPV
country_name	string	Country name.	Cabo Verde
year	Int64	Observation year.	2025
value	float64	Numeric observation value.	2457790.71907547
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_country_name	string	Source dimension.	Cabo Verde
dimension_country_iso3	string	Source dimension.	CPV
dimension_indicator_name	string	Source dimension.	Charges for the use of intellectual property, payments (BoP, current US$
dimension_indicator_code	string	Source dimension.	BM.GSR.ROYL.CD
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	World Bank Group
source_dataset	category	Source package title.	Cabo Verde - Science and Technology
source_resource	category	Source resource title.	Science and Technology Indicators for Cabo Verde
source_package_id	category	CKAN package UUID.	b5c73d80-4e61-495c-9b58-7da92e16df50
source_resource_id	category	CKAN resource UUID.	dc84a50a-a99d-422f-ab7b-6e2190f9cbd3
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/b5c73d80-4e61-495c-9b58-7da92e16df50/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-25T16:58:39Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cabo-verde-cabo-verde-science-and-technology-e3c9bf5b")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CPV"]

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_cabo_verde_cabo_verde_science_and_technology_e3c9bf5b_2025,
  title        = {Cabo Verde - Science and Technology | Africa (Cabo Verde official open data)},
  author       = {World Bank Group},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-cabo-verde},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cabo-verde-cabo-verde-science-and-technology-e3c9bf5b}}
}

License

Released under CC BY 4.0.

Original data (c) World Bank Group. 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 2026-08-25 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/b5c73d80-4e61-495c-9b58-7da92e16df50/resource/dc84a50a-a99d-422f-ab7b-6e2190f9cbd3/download/science-and-technology_cpv.csv