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South Sudan: Trained Nurses and Midwives Employment | Africa (original)

Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.

Dataset context from the existing Hugging Face card: South Sudan: Trained Nurses and Midwives Employment Publisher: Solidarity with South Sudan · Source: HDX · License: cc-by-igo · Updated: 2025-05-05 Abstract The data has been assembled by the Solidarity with South Sudan Catholic Health Training Institute (CHTI) based in Wau, Western Bahr al-Ghazal, South Sudan. It provides insights into the employment of qualified nurses and midwives in the National Health System of South Sudan. Each row in this dataset represents… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-solidarity-with-south-sudan.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-solidarity-with-south-sudan
Sector health
Topic tags humanitarian, hdx, electric-sheep-africa, eastern-africa, education, employment, gender, health, indicators, ssd
Modalities tabular, text
Formats parquet
Size category n<1K
Countries South Sudan
ISO3 coverage SSD
Last modified on HF 2026-04-20 08:59:19+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-solidarity-with-south-sudan")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_solidarity_with_south_sudan_2026,
  title        = {South Sudan: Trained Nurses and Midwives Employment | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-solidarity-with-south-sudan},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-solidarity-with-south-sudan}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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