electricsheepafrica/africa-seychelles-seychelles-environment-706b93b2

Seychelles - Environment | Africa (Seychelles official open data)

4,181 rows - 1 Africa country - 1960-2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Seychelles 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: Seychelles - Environment
• Publisher: World Bank Group
• Resource: Environment Indicators for Seychelles
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SYC	4,181	1960	2025	Seychelles

Indicators or Resource Contents

• seychelles-environment-10cd24d5 - Seychelles - Environment

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	seychelles-environment-10cd24d5
indicator_name	string	Human-readable indicator name.	Seychelles - Environment
country_iso3	string	ISO3 country code.	SYC
country_name	string	Country name.	Seychelles
year	Int64	Observation year.	2023
value	float64	Numeric observation value.	3.3695652173913
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_country_name	string	Source dimension.	Seychelles
dimension_country_iso3	string	Source dimension.	SYC
dimension_indicator_name	string	Source dimension.	Agricultural land (% of land area)
dimension_indicator_code	string	Source dimension.	AG.LND.AGRI.ZS
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.	Seychelles - Environment
source_resource	category	Source resource title.	Environment Indicators for Seychelles
source_package_id	category	CKAN package UUID.	536e9a37-47c8-446d-9180-7e11754d0ac9
source_resource_id	category	CKAN resource UUID.	8984185a-935b-424e-9556-9c2339b35ccd
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/536e9a37-47c8-446d-9180-7e11754d0ac9/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-24T21:35:26Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-seychelles-seychelles-environment-706b93b2")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SYC"]

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_seychelles_seychelles_environment_706b93b2_2025,
  title        = {Seychelles - Environment | Africa (Seychelles official open data)},
  author       = {World Bank Group},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/world-bank-environment-indicators-for-seychelles},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-seychelles-seychelles-environment-706b93b2}}
}

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

---

Provenance: ingested 2026-08-24 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/536e9a37-47c8-446d-9180-7e11754d0ac9/resource/8984185a-935b-424e-9556-9c2339b35ccd/download/environment_syc.csv