electricsheepafrica/africa-cabo-verde-cabo-verde-corruption-perceptions-index-2a312f9b

Cabo Verde - Corruption Perceptions Index | Africa (Cabo Verde official open data)

84 rows - 1 Africa country - 2012-2025 - 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 - Corruption Perceptions Index
• Publisher: Transparency International
• Resource: cpv_cpi.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CPV	84	2012	2025	Cabo Verde

Indicators or Resource Contents

• cabo-verde-corruption-perceptions-index-score-41a7483b - Cabo Verde - Corruption Perceptions Index - score
• cabo-verde-corruption-perceptions-index-rank-5fbb46d4 - Cabo Verde - Corruption Perceptions Index - rank
• cabo-verde-corruption-perceptions-index-sources-de3345dd - Cabo Verde - Corruption Perceptions Index - sources
• cabo-verde-corruption-perceptions-index-standarderror-543b30c1 - Cabo Verde - Corruption Perceptions Index - standarderror
• cabo-verde-corruption-perceptions-index-lowerci-b5c46efa - Cabo Verde - Corruption Perceptions Index - lowerci
• cabo-verde-corruption-perceptions-index-upperci-92f0081f - Cabo Verde - Corruption Perceptions Index - upperci

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	cabo-verde-corruption-perceptions-index-score-41a7483b
indicator_name	string	Human-readable indicator name.	Cabo Verde - Corruption Perceptions Index - score
country_iso3	string	ISO3 country code.	CPV
country_name	string	Country name.	Cabo Verde
year	Int64	Observation year.	2025
value	float64	Numeric observation value.	62.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_country	string	Source dimension.	Cabo Verde
dimension_iso3	string	Source dimension.	CPV
dimension_region	string	Source dimension.	SSA
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.	Transparency International
source_dataset	category	Source package title.	Cabo Verde - Corruption Perceptions Index
source_resource	category	Source resource title.	cpv_cpi.csv
source_package_id	category	CKAN package UUID.	4ff0eec4-4345-49b8-9909-aa8251856775
source_resource_id	category	CKAN resource UUID.	1fc9d971-3c60-43ea-b0fe-cecb1bf723a8
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/4ff0eec4-4345-49b8-9909-aa8251856775/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-corruption-perceptions-index-2a312f9b")
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_corruption_perceptions_index_2a312f9b_2025,
  title        = {Cabo Verde - Corruption Perceptions Index | Africa (Cabo Verde official open data)},
  author       = {Transparency International},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/cpv-corruption-perceptions-index},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cabo-verde-cabo-verde-corruption-perceptions-index-2a312f9b}}
}

License

Released under CC BY 4.0.

Original data (c) Transparency International. 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/4ff0eec4-4345-49b8-9909-aa8251856775/resource/1fc9d971-3c60-43ea-b0fe-cecb1bf723a8/download/cpv_cpi.csv