CoolFace
Datasetpublic

electricsheepafrica/africa-seychelles-seychelles-accessibility-indicators-dc694b77

Seychelles - Accessibility Indicators | Africa (Seychelles official open data) 320 rows - 1 Africa country - 2020-2025 - 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 - Accessibility Indicators… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-seychelles-seychelles-accessibility-indicators-dc694b77.

sourceHugging Facecc-by-sa-4.0updated 1mo agoView on Hugging Face
0likes11downloads
Dataset Card

Seychelles - Accessibility Indicators | Africa (Seychelles official open data)

320 rows - 1 Africa country - 2020-2025 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
SYC32020202025Seychelles

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.7f754bc0-873b-423a-a4d0-7421ce924488:0
country_iso3categoryISO3 country code.SYC
country_namecategoryCountry name.Seychelles
namestringSource column.West Mahe
isostringSource column.``
idstringSource column.34574756B14018612202061
countrystringSource column.SYC
admin_levelstringSource column.ADM2
categorystringSource column.hospitals
range_typestringSource column.TIME
rangeint64Source column.600
populationint64Source column.11471
under_5_populationint64Source column.921
under_5_population_sharefloat64Source column.80.65
under_5_population_intervalint64Source column.921
under_5_population_interval_sharefloat64Source column.80.65
school_age_populationint64Source column.3503
school_age_population_sharefloat64Source column.80.71
school_age_population_intervalint64Source column.3503
school_age_population_interval_sharefloat64Source column.80.71
adults_populationint64Source column.10443
adults_population_sharefloat64Source column.80.71
adults_population_intervalint64Source column.10443
adults_population_interval_sharefloat64Source column.80.71
women_childbearing_populationint64Source column.2958
women_childbearing_population_sharefloat64Source column.80.71
women_childbearing_population_intervalint64Source column.2958
women_childbearing_population_interval_sharefloat64Source column.80.71
elderly_populationint64Source column.1825
elderly_population_sharefloat64Source column.80.68
elderly_population_intervalint64Source column.1825
elderly_population_interval_sharefloat64Source column.80.68
population_sharefloat64Source column.80.72
population_intervalint64Source column.11471
population_interval_sharefloat64Source column.80.72
source_period_start_yearInt64First year inferred from source resource metadata.2020
source_period_end_yearInt64Last year inferred from source resource metadata.2025
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2020-2025
source_providercategoryPublishing organization.HeiGIT (Heidelberg Institute for Geoinformation Technology)
source_datasetcategorySource package title.Seychelles - Accessibility Indicators
source_resourcecategorySource resource title.SYC_hospitals_access_wide.csv
source_package_idcategoryCKAN package UUID.d2f6eec1-8913-4cd1-9a38-2cf57b129721
source_resource_idcategoryCKAN resource UUID.7f754bc0-873b-423a-a4d0-7421ce924488
source_urlcategoryOriginal source resource URL.https://hot.storage.heigit.org/heigit-hdx-public/access/syc/SYC_hospital
license_idcategorySource license identifier.cc-by-sa
retrieved_atcategoryUTC retrieval timestamp.2026-08-24T21:35:26Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-seychelles-seychelles-accessibility-indicators-dc694b77")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_seychelles_seychelles_accessibility_indicators_dc694b77_2025,
  title        = {Seychelles - Accessibility Indicators | Africa (Seychelles official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/seychelles-accessibility-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-seychelles-seychelles-accessibility-indicators-dc694b77}}
}

License

Released under CC BY-SA.

Original data (c) HeiGIT (Heidelberg Institute for Geoinformation Technology). 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://hot.storage.heigit.org/heigit-hdx-public/access/syc/SYChospitalsaccess_wide.csv