electricsheepafrica/africa-guinea-gender-parity-index-in-primary-indice-de-parite-de-genre-a-71222ea0
Gender parity index in primary - Indice de parité de genre au primaire | Africa (Guinea official open data) 339 rows - 1 Africa country - 2007-2015 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Guinea 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: Gender parity… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-guinea-gender-parity-index-in-primary-indice-de-parite-de-genre-a-71222ea0.
Gender parity index in primary - Indice de parité de genre au primaire | Africa (Guinea official open data)
339 rows - 1 Africa country - 2007-2015 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Guinea 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: Gender parity index in primary - Indice de parité de genre au primaire
- Publisher: United Nations Economic Commission for Africa
- Resource: Gender parity index in primary - Indice de parité de genre au primaire.xlsx
- Format:
XLSX - License: CC BY 4.0
- Packaging mode:
indicator_long
Geographic coverage
1 Africa country:
Indicators or Resource Contents
gender-parity-index-in-primary-indice-de-parite-de-genre-au-primaire-71222ea0- Gender parity index in primary - Indice de parité de genre au primaire
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-guinea-gender-parity-index-in-primary-indice-de-parite-de-genre-a-71222ea0")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
sample_country = df[df["country_iso3"] == "GIN"]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_guinea_gender_parity_index_in_primary_indice_de_parite_de_genre_a_71222ea_2015,
title = {Gender parity index in primary - Indice de parité de genre au primaire | Africa (Guinea official open data)},
author = {United Nations Economic Commission for Africa},
year = {2015},
url = {https://data.humdata.org/dataset/gender-parity-index-in-primary-indice-de-parite-de-genre-au-primaire},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-guinea-gender-parity-index-in-primary-indice-de-parite-de-genre-a-71222ea0}}
}License
Released under CC BY 4.0.
Original data (c) United Nations Economic Commission for Africa. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/3f39e076-e8ac-4bff-b702-db748b5279de/resource/244e4e8a-5eb4-40e6-b12c-166186682400/download/gender-parity-index-in-primary-indice-de-parite-de-genre-au-primaire.xlsx
