electricsheepafrica/africa-eswatini-eswatini-languages-c2db0118
Eswatini: Languages | Africa (Eswatini official open data) 12 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV resource from Eswatini 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: Eswatini: Languages Publisher: CLEAR Global (previously Translators… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-eswatini-eswatini-languages-c2db0118.
Eswatini: Languages | Africa (Eswatini official open data)
12 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Eswatini 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: Eswatini: Languages
- Publisher: CLEAR Global (previously Translators without Borders)
- Resource: clearglobal_language_use_SWZ_admin0.csv
- Format:
CSV - License: CC BY-SA
- Packaging mode:
indicator_long
Geographic coverage
1 Africa country:
Indicators or Resource Contents
eswatini-languages-location-level-86babe7b- Eswatini: Languages - location leveleswatini-languages-language-rank-c5966b02- Eswatini: Languages - language rankeswatini-languages-proportion-value-2cebe11e- Eswatini: Languages - proportion valueeswatini-languages-reliability-score-63b47b8c- Eswatini: Languages - reliability score
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-eswatini-eswatini-languages-c2db0118")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
sample_country = df[df["country_iso3"] == "SWZ"]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_eswatini_eswatini_languages_c2db0118_2023,
title = {Eswatini: Languages | Africa (Eswatini official open data)},
author = {CLEAR Global (previously Translators without Borders)},
year = {2023},
url = {https://data.humdata.org/dataset/eswatini-languages},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-eswatini-eswatini-languages-c2db0118}}
}License
Released under CC BY-SA.
Original data (c) CLEAR Global (previously Translators without Borders). 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 2026-08-30 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/1996fdde-8189-4364-a57a-08f5b79fe242/resource/989403da-7ba1-4513-a7c2-2c9293048d71/download/cleargloballanguageuseswzadmin0.csv
