electricsheepafrica/africa-mali-cross-gender-ties-12bfb64c

Cross Gender Ties | Africa (Mali official open data)

285 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Mali 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: Cross Gender Ties
• Publisher: AI for Good at Meta
• Resource: nuts2_2024_cgfr.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	285	2024	2026	Mali

Indicators or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
region_id	string	Source column.	ES11
region_name	string	Source column.	Galicia
country	string	Source column.	ES
level	string	Source column.	nuts2_2024
cgfr_5	float64	Source column.	0.5958
cgfr_10	float64	Source column.	0.5694
cgfr_25	float64	Source column.	0.5498
cgfr_50	float64	Source column.	0.5546
cgfr_75	float64	Source column.	0.5675
cgfr_100	float64	Source column.	0.5804
cgfr_125	float64	Source column.	0.5922
cgfr_150	float64	Source column.	0.6026
cgfr_175	float64	Source column.	0.6115
cgfr_200	float64	Source column.	0.6192
source_period_start_year	Int64	First year inferred from source resource metadata.	2024
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	category	Human-readable period inferred from source resource metadata.	2024-2026
source_provider	category	Publishing organization.	AI for Good at Meta
source_dataset	category	Source package title.	Cross Gender Ties
source_resource	category	Source resource title.	nuts2_2024_cgfr.csv
source_package_id	category	CKAN package UUID.	b138131c-52d0-48c0-8351-ee1c21cadf34
source_resource_id	category	CKAN resource UUID.	e8a047fe-c9f0-4d27-bd91-cbca24d7d47a
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-12T23:12:09Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-cross-gender-ties-12bfb64c")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_cross_gender_ties_12bfb64c_2026,
  title        = {Cross Gender Ties | Africa (Mali official open data)},
  author       = {AI for Good at Meta},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/cross-gender-ties},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-cross-gender-ties-12bfb64c}}
}

License

Released under CC BY 4.0.

Original data (c) AI for Good at Meta. 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

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Provenance: ingested 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv